Method and apparatus for detecting a biological condition

ABSTRACT

Aspects of the subject disclosure may include, for example, a system or biological sensor configured to detect an adverse biological condition from a comparative measurement from two or more body parts. Other embodiments are disclosed.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a Continuation-in-Part of and claims priority toU.S. patent application Ser. No. 14/960,872 filed Dec. 7, 2015, which isa Continuation-in-Part of and claims priority to U.S. patent applicationSer. No. 14/920,200 filed Oct. 22, 2015. The contents of each of theforegoing is/are hereby incorporated by reference into this applicationas if set forth herein in full.

FIELD OF THE DISCLOSURE

The subject disclosure relates to a method and apparatus for detecting abiological condition from a comparative measurement.

BACKGROUND

Biological sensors can be used for measuring temperature, respiration,pulse rate, blood pressure, among other things. Some biological sensorscan be implanted and can be configured to be battery-less. Battery-lesssensors can utilize one or more antennas to receive radio frequencysignals, and which can be converted to energy that powers components ofthe sensor while the radio frequency signals are present. Somebiological sensors can also be configured to deliver dosages of acontrolled substance.

BRIEF DESCRIPTION OF THE DRAWINGS

Reference will now be made to the accompanying drawings, which are notnecessarily drawn to scale, and wherein:

FIG. 1 is a block diagram illustrating example, non-limiting embodimentsfor placing sensors on a patient in accordance with various aspects ofthe subject disclosure described herein;

FIGS. 2A-2B are block diagrams illustrating example, non-limitingembodiments for managing use of one or more sensors of a patient inaccordance with various aspects of the subject disclosure describedherein;

FIGS. 2C-2D are block diagrams illustrating example, non-limitingembodiments of a top view and side view of a biological sensor inaccordance with various aspects of the subject disclosure describedherein;

FIG. 2E is a block diagram illustrating an example, non-limitingembodiment of a removable component of a biological sensor in accordancewith various aspects of the subject disclosure described herein;

FIGS. 2F-2I are block diagrams illustrating example, non-limitingembodiments for removing and decommissioning a biological sensor inaccordance with various aspects of the subject disclosure describedherein;

FIG. 2J is a block diagram illustrating an example, non-limitingembodiment of a method for decommissioning a biological sensor inaccordance with various aspects of the subject disclosure describedherein;

FIG. 2K is a block diagram illustrating an example, non-limitingembodiment of a method for decommissioning a biological sensor inaccordance with various aspects of the subject disclosure describedherein;

FIG. 2L is a block diagram illustrating an example, non-limitingembodiment of a biological sensor in accordance with various aspects ofthe subject disclosure described herein;

FIGS. 2M-2P are block diagrams illustrating example, non-limitingembodiments of devices communicatively coupled to a biological sensor inaccordance with various aspects of the subject disclosure describedherein;

FIG. 2Q is a block diagram illustrating an example, non-limitingembodiment of a method for initiating a timed event, procedure,treatment and/or process in accordance with various aspects of thesubject disclosure described herein;

FIGS. 3A-3F are block diagrams illustrating example, non-limitingembodiments of a system for managing sensor data in accordance withvarious aspects of the subject disclosure described herein;

FIG. 4 is a block diagram illustrating an example, non-limitingembodiment of a biological sensor in accordance with various aspects ofthe subject disclosure described herein;

FIG. 5 is a block diagram illustrating an example, non-limitingembodiment of a computing device in accordance with various aspects ofthe subject disclosure described herein;

FIG. 6 is a block diagram illustrating an example, non-limitingembodiment of a method in accordance with various aspects of the subjectdisclosure described herein;

FIGS. 7A-7B are block diagrams illustrating example, non-limitingembodiments of plots of sensor data of a plurality of patients inaccordance with various aspects of the subject disclosure describedherein;

FIGS. 7C-7D are block diagrams illustrating example, non-limitingembodiments of thresholds used for monitoring biological conditions ofthe plurality of patients of FIGS. 7A-7B in accordance with variousaspects of the subject disclosure described herein; and

FIG. 8A1 is a block diagram illustrating an example, non-limitingembodiment of a method for monitoring a plurality of biological statesin accordance with various aspects of the subject disclosure describedherein;

FIG. 8A2 is a block diagram illustrating an example, non-limitingembodiment for identification objects that can be utilized to identify abiological sensor and/or a user of the biological sensor in accordancewith various aspects of the subject disclosure described herein;

FIGS. 8B-8E are block diagrams illustrating example, non-limitingembodiments for coupling sensors to body parts in accordance withvarious aspects of the subject disclosure described herein;

FIG. 8F is a block diagram illustrating an example, non-limitingembodiment of a method for determining an adverse biological conditionfrom comparative analysis of sensor data in accordance with variousaspects of the subject disclosure described herein;

FIG. 8G is a block diagram illustrating an example, non-limitingembodiment for obtaining comparative measurements from multiple bodyparts of an individual in accordance with various aspects of the subjectdisclosure described herein;

FIGS. 8H-8J are block diagrams illustrating example, non-limitingembodiments of comparative sensor data plots for detecting an adversebiological condition in accordance with various aspects of the subjectdisclosure described herein; and

FIG. 9 is a diagrammatic representation of a machine in the form of acomputer system within which a set of instructions, when executed, maycause the machine to perform any one or more of the methods of thesubject disclosure described herein.

DETAILED DESCRIPTION

The subject disclosure describes, among other things, illustrativeembodiments for managing sensor data and usage of sensors generating thesensor data. Other embodiments are described in the subject disclosure.

One or more aspects of the subject disclosure include a machine-readablestorage medium, including executable instructions that, when executed bya processor, facilitate performance of operations. The operations caninclude receiving, from a first sensor coupled to a first body part of aperson, first sensor data, receiving, from a second sensor coupled to asecond body part of the person, second sensor data, determining acomparative measurement by comparing the first sensor data and thesecond sensor data, and detecting an adverse biological conditionresponsive to determining that the comparative measurement exceeds athreshold.

One or more aspects of the subject disclosure include a system having aprocessor, and a memory that stores executable instructions that, whenexecuted by the processor, facilitate performance of operations. Theoperations can include receiving, from a first biological sensor coupledto a first body part of a person, first sensor data, receiving, from asecond biological sensor coupled to a second body part of the person,second sensor data, performing a differential measurement by comparingthe first sensor data and the second sensor data, and detecting anadverse biological condition from the differential measurement.

One or more aspects of the subject disclosure include a system having afirst coupling material including a first biological sensor thatfacilitates generating, by the first biological sensor, first sensordata when the first coupling material is coupled to a first body part, asecond coupling material including a second biological sensor thatfacilitates generating, by the second biological sensor, second sensordata when the second coupling material is coupled to a second body part,and a processor that facilitates execution of instructions to performoperations. The operations can include generating a differentialmeasurement by comparing the first sensor data and the second sensordata, and detecting an adverse biological condition from thedifferential measurement.

Turning now to FIG. 1, a block diagram illustrating example,non-limiting embodiments for placing biological sensors 102 on a patient100 in accordance with various aspects of the subject disclosure isshown. FIG. 1 depicts a number of non-limiting illustrations oflocations where biological sensors 102 can be placed on a patient 100.For example, biological sensors 102 can be placed on a patient'sforehead, chest, abdomen, arms, hands, front or rear section of a thigh,behind an ear, on a side of an arm, neck, back, or calves as illustratedin FIG. 1. Other locations for placement of biological sensors 102 arepossible and contemplated by the subject disclosure.

The biological sensors 102 can be placed or managed by a nurse 101 asshown in FIGS. 2A-2B. A nurse 101 can, for example, place a biologicalsensor 102 on the patient 100 as depicted in FIG. 2A and manage use ofthe biological sensor 102 with a computing device 202 such as atouch-screen tablet as depicted in FIG. 2B. The computing device 202 canalso be represented by a smartphone, a laptop computer, or othersuitable computing devices. The computing device 202 can becommunicatively coupled to the biological sensor 102 by a wirelessinterface, such as, near field communications (NFC) having, for example,a range of 1-12 inches from the biological sensor 102, Bluetooth®,ZigBee®, WiFi, or other suitable short range wireless technology.Alternatively, the computing device 202 can be communicatively coupledto the biological sensor 102 by a wired interface or tethered interface(e.g., a USB cable).

Biological sensors 102 can be placed on an outer surface of a skin ofthe patient 100 with an adhesive, or can be implanted in the patient100. Although the patient 100 is shown to be a human patient, a patient100 can also be represented by a non-human species (e.g., a dog, a cat,a horse, cattle, a tiger, etc.) or any other type of biological organismwhich can use a biological sensor 102. Biological sensors 102 can beused for a number of functions such as, for example, electrocardiogrammeasurements, measuring temperature, perspiration, pulse rate, bloodpressure, respiration rate, glucose levels in blood, peripheralcapillary oxygen saturation (SpO2), and other measurable biologicalfunctions contemplated by the subject disclosure.

The biological sensors 102 can also be adapted to store measurements,compare measurements to biological markers to detect a biologicalcondition, and to report such measurements and detected conditions.Biological sensors 102 are, however, not limited to monitoringapplications. For example, biological sensors 102 can also be adapted todeliver controlled dosages of medication using, for example,micro-needles. Such sensors can also perform measurements to monitor abiological response by the patient 100 to the medication delivered,record and report measurements, frequency of dosages, amount of dosagedelivered, and so on. The reports can also include temporal data such asday, month, year, time when measurement was performed and/or time whenmedication was delivered.

Now turning to FIGS. 2C-2D, block diagrams illustrating example,non-limiting embodiments of a top view and side view of a biologicalsensor 102 in accordance with various aspects of the subject disclosuredescribed herein are shown. FIG. 2C illustrates a non-limitingembodiment of a top view of the biological sensor 102. FIG. 2Dillustrates a non-limiting embodiment of a side view of the biologicalsensor 102 that supplements the illustrations of FIG. 2C. The biologicalsensor 102 can comprise a circuit 216 disposed on a top surface 211 of afirst substrate 212. The circuit 216 and the first substrate 212 cancomprise a single layer or multilayer flexible printed circuit boardthat electrically interconnects circuit components (not shown) of thecircuit 216 using conductive traces and vias on a flexible substratesuch as a polyimide substrate or other suitable flexible substratetechnology. It will be appreciated that electrical components of thecircuit 216 can also be disposed on a bottom surface 213 of thebiological sensor 102.

The biological sensor 102 can further comprise a second substrate 218that adhesively couples to a bottom surface 213 of the first substrate212. In one embodiment, an adhesive layer 222 can be positioned near anouter edge of the second substrate 218. The adhesive layer 222 can beused to bind the second substrate 218 to the bottom surface 213 of thefirst substrate 212. One or more components of the biological sensor 102can be disposed on a top surface 217 or bottom surface 219 of the secondsubstrate 218. For example, an antenna 224 of the biological sensor 102such as shown in FIG. 2E (shown also with ghosted lines in FIG. 2C) canbe disposed on the top surface 217 of the second substrate 218. Theantenna 224 can be used for wireless communications between thebiological sensor 102 and other communication devices. Other componentsof the biological sensor 102 can be disposed on the second substrate 218in place of or in combination with the antenna 224. For example, atransmitter, a power supply system, and/or a processor can be disposedon the top surface 217 or bottom surface 219 in place of or incombination with the antenna 224. The second substrate 218 and theantenna 224 disposed thereon can also be constructed using flexibleprinted circuit board technology similar to or identical to the flexibleprinted circuit board technology used for constructing the firstsubstrate 212 and circuit 216 disposed thereon.

To enable electrical connectivity between the antenna 224 and thecircuit 216, a conductive material 226 can be disposed on first andsecond feed points of the antenna 224. The conductive material 226 (suchas a metal contact) can be configured to make contact with first andsecond conductive pads 229 disposed on the bottom surface 213 of thefirst substrate 212. The first and second conductive pads 229 can beelectrically connected to first and second conductive vias 228. Thecombination of the first and second conductive pads 229 and the firstand second conductive vias 228 provide the first and second feed pointsof the antenna 224 electrical conductivity to one or more circuitcomponents (e.g., transmitter and receiver) included in the circuit 216.In an embodiment, the conductive material 226 of the first and secondfeed points can be configured so that it does not permanently adhered tothe conductive pads 229 with solder or some other material withadherence properties.

To achieve electrical contact, an adhesive material 230 can be used at acenter point (or at one or more other locations) of the second substrate218 to cause the conductive material 226 to make electrical contact withthe first and second conductive pads 229 by pressure (without adhesion).An adhesive layer 222 can also be used to maintain a stable positionbetween the second substrate 218 and the first substrate 212 to avoidmisaligning the conductive material 226 from the first and secondconductive pads 229. The adhesive interconnectivity between the firstand second substrates 212 and 218, respectively, provides an initialconfiguration in which the biological sensor 102 is in the form of asingle unit prior to being placed on a skin surface 236 of a patient100.

The biological sensor 102 can further comprise an adhesive layer 214disposed on the bottom surface 213 of the first substrate 212 thatsurrounds an outer edge of the first substrate 212. Similarly, anadhesive layer 220 can be disposed on the bottom surface 219 of thefirst substrate 212 that surrounds an outer edge of the second substrate218. Prior to placing the biological sensor 102 on a patient 100, aremovable cover (not shown) can be coupled to the adhesive layers 214and 220 to prevent exposing the adhesive layers 214 and 220 while thebiological sensor 102 is in storage. The removable cover can bestructurally configured with a smooth surface that reduces adherence tothe adhesive layers 214 and 220, and thereby prevents damaging theadhesive properties of the adhesive layers 214 and 220 when the cover isremoved. The removable cover can be further configured to extendoutwardly from the adhesive layer 214 or it can include selectable tabto enable ease of removal of the cover from the biological sensor 102 inpreparation for its use. The biological sensor 102 with an attachedremovable cover can be placed in a sealed package for storage purposes.In anticipation of the discussions that follow, it will be appreciatedthat the biological sensor 102 can include some or all of the componentsillustrated in FIG. 4, and can perform the operations described below.

Now turning to FIG. 2J, a block diagram illustrating an example,non-limiting embodiment of a method 240 for decommissioning thebiological sensor 102 of FIGS. 2C-2D in accordance with various aspectsof the subject disclosure described herein is shown. Method 240 will bedescribed in view of FIGS. 2F-2I. Method 240 can begin with step 242whereby a biological sensor 102 is placed on a patient 100 as shown inFIGS. 2A-2B. When a clinician (such as a nurse 101) is prepared toutilize the biological sensor 102, the sealed package holding thebiological sensor 102 can be manually torn, and the cover can be removedthereby exposing adhesive layers 214 and 220. The clinician can thenplace the biological sensor 102 on the skin 236 of the patient 100. Upondoing so, the skin 236 of the patient 100 adheres to the adhesive layer214 of the first substrate 212 and the adhesive layer 220 of the secondsubstrate 218.

At a later time (e.g., minutes, hours, days or weeks later), theclinician can determine at step 244 whether it is time to remove thebiological sensor 102. The first substrate 212 can comprise a tab 234that does not adhere to the skin 236. At step 246, the tab 234 can beselected and pulled by the clinician to remove the biological sensor 102when the clinician deems at step 244 that the biological sensor 102 isno longer to be used. The adhesive layers 222 and 220 can be configuredso that the adhesive force between the bottom surface 213 of the firstsubstrate 212 and the top surface 217 of the second substrate 218 issubstantially weaker than the adhesive force between the skin 236 andthe bottom surface 219 of the second substrate 218.

A disparity in bonding forces can be accomplished by configuring theadhesive layer 220 so that it is wider than the adhesive layer 222(e.g., 2:1) and/or by utilizing an adhesive material for the adhesivelayer 220 that has a substantially stronger bonding force than a bondingforce created by the adhesive material of the adhesive layer 222.Consequently, when the clinician pulls tab 234 with sufficient force,the bond between the second substrate 218 and the first substrate 212breaks enabling removal of the first substrate 212 from the secondsubstrate 218, while the second substrate 218 remains bonded to the skin236 of the patient 100 as shown in FIGS. 2F-2G.

By separating the first substrate 212 from the second substrate 218, thebiological sensor 102 is permanently decommissioned since the biologicalsensor 102 can no longer transmit wireless signals to othercommunication devices as a result of the antenna 224 (that remains onthe second substrate 218) no longer making electrical contact with thecircuit 216 of the first substrate 212. To complete the removal processof the biological sensor 102, the clinician can pull tab 232 of thesecond substrate 218 at step 248, which is also not bonded to the skin236, thereby removing the remaining portion of the biological sensor 102as shown in FIGS. 2H-2I. According to FIGS. 2F-2I the biological sensor102 can be decommissioned by a clinician in a two-step approach.

It will be appreciated that the biological sensor 102, illustrated inFIGS. 2C-2D, can be modified or otherwise adapted with other embodimentsthat enable decommissioning of the biological sensor 102 in a mannersimilar to the steps illustrated in FIGS. 2F-2I. For example, theconductive materials 226 of the antenna 224 can be weakly bonded toconductive pads 229 with solder instead of relying on pressure contact.In this embodiment, the adhesive material 230 may no longer be required.The adhesive layer 220 can be configured to adhere to the skin 236 ofthe patient 100 such that it exceeds a force to break the solder jointbetween the conductive materials 226 and the conductive pads 229.

In yet another embodiment, the second substrate 218 can include acomponent that inductively couples to the circuit 216 of the firstsubstrate 212. In this embodiment, electrical physical contact betweenthe component and the circuit 216 is not required. If the component inthe second substrate 218 is required to maintain operations of thebiological sensor 102, then the biological sensor 102 will bedecommissioned when the first substrate 212 of the biological sensor 102is removed from the patient 100 (as illustrated in FIGS. 2F-2G), whichin turn removes the inductive coupling between the circuit 216 of thefirst substrate 212 and the component of the second substrate 218. Itwill be appreciated that any circuit component required to operate thebiological sensor 102 can be disposed on the second substrate 218 forpurposes of decommissioning the biological sensor 102 when it is removedfrom the patient 100 as shown in FIGS. 2F-2I.

The subject disclosure therefore contemplates modifications to theforegoing embodiments of the biological sensor 102 that enables removal,damage or other form of modification to one or more components of thebiological sensor 102, which can serve to decommission the biologicalsensor 102 when a clinician removes the biological sensor 102 from theskin 236 of a patient 100. Such a decommissioning process can helpprevent inadvertent reuse, overuse or misuse of the biological sensor102.

Now turning to FIG. 2K, a block diagram illustrating an example,non-limiting embodiment of a method 250 for decommissioning a biologicalsensor 102 in accordance with various aspects of the subject disclosuredescribed herein is shown. Method 250 can be used as an alternativeembodiment to method 240. Particularly, method 250 can be used ininstances where physical removal of the biological sensor 102 from theskin 236 of patient 100 does not result in a decommissioning of thebiological sensor 102. With this in mind, method 250 can begin at step252 where a clinician places a biological sensor 102 on a patient 100 asshown in FIGS. 2A-2B. The clinician can enable the biological sensor 102at step 254 utilizing the computing device 202 shown in FIG. 2B, asensor management system 304 shown in FIG. 3A, or other sensormanagement techniques, which are described below in accordance with theflowchart illustrated in FIG. 6. For illustration purposes only, it willbe assumed that the biological sensor 102 is being managed by thecomputing device 202 and/or the sensor management system 304. Otherembodiments are disclosed.

Once the biological sensor 102 is enabled, the computing device 202 orsensor management system 304 can receive data from the biological sensor102. At step 257, the computing device 202 or sensor management system304 can be configured to determine from the data whether the biologicalsensor 102 is no longer in use. For example, the data received from thebiological sensor 102 can be motion sensor data generated by a motionsensor 418 shown in FIG. 4 described below. Motion sensor data canindicate that the biological sensor has been stationary for a period oftime (e.g., 1 hour or more) which may indicate that the biologicalsensor 102 is no longer being used by the patient 100.

The data can further include biological sensor data such as thepatient's pulse rate, blood pressure, temperature, and/or otherbiological sensing data generated by one or more sensors 410 of thebiological sensor 102 (shown in FIG. 4 and described below). If, forexample, the biological sensor data is devoid of biological sensorreadings (e.g., no pulse or blood pressure), a determination can be madethat the biological sensor 102 is no longer in use. Similarly, ifbiological sensor data does not correspond to an expected range of thepatient 100 (e.g., temperature reading received is room temperature asopposed to body temperature), then similarly a determination can be madethat the biological sensor 102 is no longer in use. The computing device202 or sensor management system 304 can analyze a single aspect or acombination aspects of the data it receives at step 256 to make adetermination at step 257 whether the biological sensor 102 is in use.

If a determination is made that the biological sensor 102 continues tobe in use by the patient 100, the computing device 202 or sensormanagement system 304 can proceed to step 256 to continue monitoringdata it receives from the biological sensor 102. If, on the other hand,a determination is made that the biological sensor 102 is no longer inuse, the computing device 202 or sensor management system 304 canproceed to step 258 and decommission the biological sensor 102. Thecomputing device 202 or sensor management system 304 can accomplish thisstep in several ways.

In one embodiment, the computing device 202 or sensor management system304 can send wireless instructions to the biological sensor 102 todisable communications permanently. Upon receiving such instructions,the biological sensor 102 can permanently disable a transmitter of thebiological sensor 102 by, for example, opening a switch that connects anantenna to the transmitter. The switch can be an electromechanicaldevice designed to remain open after it is switched to an open positionthereby permanently disabling communications by the biological sensor102. Alternatively, the biological sensor 102 can be configured to storeinformation in a nonvolatile memory which informs the biological sensor102 that communications (or operations in general) are to be permanentlydisabled. The nonvolatile memory can be configured such that once theinformation is written into memory it cannot be removed/erased from thememory. In yet another embodiment, the computing device 202 or sensormanagement system 304 can be configured to permanently decommission thebiological sensor 102 by discontinuing communications with thebiological sensor 102 and/or ignoring messages transmitted by thebiological sensor 102. In one embodiment, the decision by the computingdevice 202 or sensor management system 304 to stop communication (orignore communications by the biological sensor 102) can be associatedwith a unique identification number that is associated with thebiological sensor 102. In another embodiment, the computing device 202or sensor management system 304 can be configured to stop communication(or ignore communications) with one or more biological sensor 102associated with a patient in response to the patient being discharged.The computing device 202 or sensor management system 304 can beintegrated or communicatively coupled to a patient discharge system todetect when a patient is discharged.

It will be appreciated that method 250 can be adapted so that thebiological sensor 102 can be configured to perform steps 257 and 258independent of the computing device 202 or sensor management system 304.For example, the biological sensor 102 can be configured to decommissionitself if after a certain period (e.g., 1 hour) it has not detectedmotion, a pulse or other biological sensor readings. Method 250 can alsobe adapted so that steps 256-258 can be performed by an ancillary devicesuch as a trash dispenser. For example, a trash dispenser can beconfigured with a communication device enabled to receive data from thebiological sensor 102, analyze the data at step 257 and decommission thebiological sensor 102 at step 258 as previously described. The trashdispenser can also be configured to transmit a message to the computingdevice 202 or sensor management system 304, the message providing anidentification (e.g., patient ID, or other unique identifier) of thebiological sensor 102, and indicating that the biological sensor 102 hasbeen decommissioned. The computing device 202 or sensor managementsystem 304 can use this information to record the decommissioning of thebiological sensor 102.

While for purposes of simplicity of explanation, the respectiveprocesses are shown and described as a series of blocks in FIGS. 2J-2K,it is to be understood and appreciated that the claimed subject matteris not limited by the order of the blocks, as some blocks may occur indifferent orders and/or concurrently with other blocks from what isdepicted and described herein. Moreover, not all illustrated blocks maybe required to implement the methods described herein.

Now turning to FIG. 2L, a block diagram illustrating an example,non-limiting embodiment of a biological sensor 102 in accordance withvarious aspects of the subject disclosure is shown. The biologicalsensor 102 can comprise a display 261 (e.g., LCD, OLED or other lowpower display technology—see FIG. 5) for presenting information. Thebiological sensor 102 can also be configured with a timer to present atimed event. The timer can be used for presenting an elapsed time 263.In one embodiment, the elapsed time 263 can be based on a countdownsequence that counts down to zero. Countdown sequences can be useful insituations where a procedure is expected to be performed within acertain period. In another embodiment, the timer can be configured tocount upwards to indicate to a clinician 101 how much time hastranspired since the timed event was initiated.

In some embodiments, the timed event can represent a timed procedurethat needs to be initiated by a clinician 101 or another individual(e.g., a patient 100 wearing the biological sensor 102). The type ofprocedure to be initiated can be identified by an indicator such as aprocedural code 262 that is recognizable by the clinician 101 or thepatient 100. In one embodiment, the timed procedure can be triggered bya biological condition detected by the biological sensor 102. In anotherembodiment, the timed procedure can be triggered by a procedureinitiated by a clinician 101 via a computing device 202 as illustratedin FIG. 2B or by the patient 100 with a mobile device (e.g., asmartphone, tablet or laptop). The computing device 202 (or otherprocessing device) can be configured, for example, to transmit awireless message directed to the biological sensor 102 that describesthe procedure being initiated by the clinician 101 (or patient 100).

Now turning to FIGS. 2M-2P, block diagrams illustrating example,non-limiting embodiments of devices communicatively coupled to abiological sensor 102 in accordance with various aspects of the subjectdisclosure are shown. FIG. 2M depicts a biological sensor 102 configuredto transmit wireless signals to a device such as a wristband 264attached to the patient 100. The biological sensor 102 can beconfigured, for example, to detect an event that triggers a timed eventsuch as a timed procedure and/or timed treatment. The biological sensor102 can transmit wireless signals to the wristband 264 to present thetimed event. The biological sensor 102 can, for example, provide thewristband 264 information for presenting the procedural code 262 andelapsed time 263 since the time event was initiated. The wristband 264can be battery operated and can include a display 261, a wirelessreceiver, and a processor to control the receiver and presentations atthe display 261. The wristband 264 can further include a timer that cancount down or count up to track time from when the timed event isinitiated, thereby offloading the biological sensor 102 from providingtimer information to the wristband 204.

In another embodiment, the biological sensor 102 can be configured towirelessly transmit information to a device 265 attached to a wall orother fixture (e.g., the headboard of a bed) as depicted in FIG. 2N. Thedevice 265 can be equipped with a display 261, a wireless receiver and aprocessor that controls the receiver and the information presented atthe display 261. The device 265 can also include a timer that can countdown or count up to track time from when the timed event is initiated,thereby offloading the biological sensor 102 from providing timerinformation to the device 265. If the device 265 has a large enoughdisplay, the device 265 can be configured to present information aboutthe patient 100 (e.g., patient's name), the elapsed time, one or moreprocedures that have been or are to be initiated, and one or moretreatments associated with each procedure. In the event that more thanone procedure is initiated, the device 265 can be further configured topresent more than one elapsed time for each timed procedure.

Alternatively, a clinician 101 can use a computing device 202 (such as atouch-screen tablet shown in FIG. 2O, also shown in FIG. 2B) to receivewireless information from the biological sensor 102 and present it in amanner similar to what was presented by device 265 in FIG. 2N. In yetanother embodiment, the computing device 202 can be further configuredto provide the information received from the biological sensor 102 to asystem 266 as illustrated in FIG. 2P. Alternatively, the system 266 canbe communicatively coupled to the biological sensor 102 by way of awireless access point (e.g., Bluetooth® or WiFi), thereby enabling thebiological sensor 102 to provide the system 266 information directlywithout an intermediate device such as the computing device 202. Thesystem 266 can present information on a display in a manner similar towhat was presented in FIGS. 2N-2O. In one embodiment, the system 266 canrepresent a local station accessible to multiple parties (e.g., nurseson a floor of a hospital). In other embodiments, the system 266 can beremote, and can be managed by remote personnel (or autonomously). Insuch embodiments, the system 266 can be represented by the sensormanagement system 304, which will be described below.

Now turning to FIG. 2Q, a block diagram illustrating an example,non-limiting embodiment of a method 270 for initiating a timed event,procedure, treatment and/or process in accordance with various aspectsof the subject disclosure is shown. Method 270 can begin at step 271where a clinician 101 places a biological sensor 102 on a patient 100 asshown in FIG. 2A. It will be appreciated that the biological sensor 102can be placed on any portion of the patient 100 (e.g., head, chest, leg,thigh, etc.) as shown by the illustrations of FIG. 1. The biologicalsensor 102 can be provisioned as described below by the flowchart ofFIG. 6. Once provisioned, the biological sensor 102 can be configured todetect a biological condition (e.g., a fever, a heart attack, high bloodpressure, high pulse rate, etc.). If the biological condition isdetected at step 272, a timer can be identified at step 273 according tothe biological condition detected.

In one embodiment, the biological sensor 102 can be configured with alook-up table stored in a memory device of the biological sensor 102.The look-up table can include timer values searchable by a correspondingbiological condition. Once a biological condition is detected at step272, the biological sensor 102 can be configured to locate at step 273an entry in memory that matches the biological condition. The biologicalcondition can be identified by a unique number generated by thebiological sensor 102. The unique number used for identifying thebiological condition can be used to search a memory for correspondingtimer value(s), procedure(s), and/or treatment(s). The biological sensor102 can be further configured to retrieve a timer value from the memorylocation matching the biological condition. The timer value can be usedto configure a timer for a count down or count up sequence. Once thetimer is configured, an elapsed time can be presented at a display ofthe biological sensor 102 at step 274 as shown in FIG. 2L.Alternatively, the biological sensor 102 can provide the timer value toanother device such as the wristband 264 or the display device 265, eachhaving its own display 261 and timer.

In other embodiments, the biological sensor 102 can be configured totransmit a message to a computing device 202 or the sensor managementsystem 304 over a wired or wireless interface, the message indicatingthat a biological condition has been detected. The computing device 202or the sensor management system 304 in turn can search a memory (ordatabase) according to the detected biological condition (utilizing, forexample, a unique code provided by the biological sensor), and therebyobtain a corresponding timer value to initiate a timed event. In oneembodiment, the computing device 202 or the sensor management system 304can provide the timer value to the biological sensor 102 over the wiredor wireless interface for presenting an elapsed time at display 261 ofthe biological sensor 102, the wristband 264, or display device 265. Inother embodiments, the computing device 202 can initiate a timeraccording to the timer value and present an elapsed time on a display ofthe computing device 202 as shown in FIG. 2O. Alternatively, or incombination, the computing device 202 or the sensor management system304 can provide the timer value to a work station as shown in FIG. 2Pfor presentation of an elapsed time.

At step 275, one or more procedures and/or one or more treatments canalso be identified based on the biological condition detected by thebiological sensor 102. In one embodiment, step 275 can be performed bythe biological sensor 102. The biological sensor 102 can, for example,retrieve one or more procedures and/or one or more treatments from alook-up table included in its memory which can be searched according tothe unique code associated with the biological condition. Alternatively,the computing device 202 or the sensor management system 304 can searchfrom its memory (database) one or more procedures and/or one or moretreatments according to the biological condition provided by thebiological sensor 102. The procedures can provide a clinician 101 aprocess for addressing the biological condition. The treatments canfurther instruct the clinician 101 to use certain medication, therapy,corrective measures, materials, and/or equipment. In some embodiments,the procedure(s) and/or treatment(s) can be presented at step 276according to one or more numeric or alphanumeric indicators utilizing asmall section of the display 261 shown in the embodiments of FIGS.2L-2M. For larger displays, the procedure(s) and/or treatment(s) can bepresented at step 276 more fully as illustrated in FIGS. 2O-2P.

At step 277, initiation or completion of a procedure and/or treatmentcan be monitored. In one embodiment, this step can be performed by theclinician 101 utilizing the computing device 202. For example, theclinician 101 can enter by way of a user interface of the computingdevice 202 (e.g., touchscreen or keyboard) an indication that one ormore of the procedures have been initiated or completed. Upon detectingthis input, the timer value used by the timer at step 274 can be updatedat step 278. Step 278 may be useful in situations where a procedure hasmultiple timed sequences. An illustration is provided below to betterunderstand how multiple timed sequences can occur.

Suppose, for example, the timer initiated at step 274 represents a timerwhich upon expiration at step 279 alerts a clinician at step 280 with anotification message. The notification message can be transmitted by thebiological sensor 102, the wristband 264, the display device 265, thecomputing device 202 or the system 266 over a wired or wirelessinterface. The notification message can include information indicatingwhat procedure(s) and/or treatment(s) to initiate. In this embodiment,the expiration of the timer constitutes a time when to initiate theprocedure(s) and/or treatment(s). Alternatively, the timer initiated atstep 274 can represent a timer that directs a clinician 101 not toexceed a time limit for initiating a procedure/treatment. In thisembodiment the clinician can initiate a procedure/treatment anytimewithin an expiration period of the timer. If the timer expires, thenotification message can represent a warning message indicating thatinitiating the procedure/treatment should not be delayed further.

Once the clinician 101 initiates the procedure, a new timer can be setat step 278. Step 278 can be invoked in situations where a procedurerequires a sequence of steps or one or more subsequentprocedures/treatments to mitigate a biological condition. Each step orprocedure may have its own timed constraints. Hence, as a clinician 101completes one step or procedure/treatment another timer is set at step278 for the next step or procedure/treatment. A clinician can provideuser input by way of the computing device 202 that indicates that startor end of a procedure/treatment. Once a procedure or treatment iscompleted, step 278 may no longer be necessary, and the process can berestarted at step 272.

It will be appreciated that steps 277-280 can be implemented by thebiological sensor 102 independently or in cooperation with the computingdevice 202 or sensor management system 304. It is further appreciatedthat method 270 can be used for any number of detectable event. Forexample, when a biological sensor 102 is removed from the patient 100 asdescribed above, the computing device 202 or sensor management system304 can detect this event and initiate a timer at the displaysillustrated in FIGS. 2N-2P to direct a clinician 101 to replace thebiological sensor 102 with another biological sensor 102 within a giventime period.

An event can also be generated by user input. For example, a clinician101 can generate user input (audible or tactile) by way of the userinterface of the computing device 202 to indicate that the patient 100has experienced a biological condition (e.g., a heart attack). Inanother embodiment, monitoring equipment such as an ECG/EKG monitor canbe configured to generate information that can identify an event (e.g.,a heart attack, failed breathing, etc.). The user input and/orinformation generated by a biological monitor can be conveyed to asystem (e.g., the sensor management system 304) that can identify abiological condition or event which in turn can cause an initiation ofsteps 272-280 as previously described. The steps of method 270 can beperformed in whole or in part by biological sensor 102, the computingdevice 202, sensor management system 304, equipment monitoringbiological functions, or any combinations thereof. Additionally, method270 can also be adapted to detect at step 272 a change in a previouslydetected biological condition (e.g., an improvement or worsening of thecondition) and adapt procedure(s), treatment(s), and/or timer(s)accordingly (e.g., reducing or increasing medication, adding or removingprocedures/treatments, changing timer value(s), etc.).

While for purposes of simplicity of explanation, the respectiveprocesses are shown and described as a series of blocks in FIG. 2Q, itis to be understood and appreciated that the claimed subject matter isnot limited by the order of the blocks, as some blocks may occur indifferent orders and/or concurrently with other blocks from what isdepicted and described herein. Moreover, not all illustrated blocks maybe required to implement the methods described herein.

Turning now to FIGS. 3A-3F, block diagrams illustrating example,non-limiting embodiments of a system 300 for managing sensor data inaccordance with various aspects of the subject disclosure is shown. FIG.3A depicts a network architecture in which one or more sensor managementsystems 304 are communicatively coupled to hospitals (A)-(N) 308,clinicians (A)-(N) 310, monitoring services (A)-(N) 312, and/or patients(A)-(N) 100, singly or in combination. The sensor management system 304can record and access data from sensor databases (A)-(N) 306. In anembodiment, hospitals (A)-(N) 308, clinicians (A)-(N) 310, andmonitoring services (A)-(N) 312 can provide the sensor management system304 access to patients 100 through their systems and local networkdevices as depicted in FIG. 3B. Alternatively, the sensor managementsystem 304 can be communicatively coupled to patients (A)-(N) 100directly as shown in FIG. 3A without intervening health care providers(such as hospitals, clinicians, or monitoring services), and insteadprovide care providers access to information of certain patientsrecorded in the sensor databases (A)-(N) 306.

FIGS. 3C-3F depict different arrangements for managing sensors 102. Inone embodiment, for example, the sensor management system 304 can becommunicatively coupled to sensors 102 via the communications network302 which is communicatively coupled to a local network 320 (e.g., alocal area network, WiFi access point, etc.) having access to thesensors 102 as depicted in FIG. 3C. In another embodiment, the sensormanagement system 304 can be communicatively coupled to sensors 102 viathe communications network 302 which is communicatively coupled to acomputing device 202 (such as shown in FIG. 2B) having access to thesensors 102 as depicted in FIG. 3D. In some embodiments, the computingdevice 202 can operate off-line (i.e., without access to the sensormanagement system 304) as depicted in FIG. 3D with the hash lines. Whileoff-line, the computing device 202 can collect sensor data from sensors102, provision sensors 102, and perform other tasks which can berecorded locally in a memory of the computing device 202. Once thecomputing device 202 restores access to the sensor management system 304via communications network 302, the computing device 202 can provide thesensor management system 304 access to its local memory to updatedatabases 306 with new sensor data, provisioning data, and so on.

In yet another embodiment, the computing device 202 can be configured tooperate independently from the sensor management system 304 as depictedin FIG. 3E and collect sensor data from sensors 102, provision sensors102, and perform other tasks which are recorded locally in the memory ofthe computing device 202. In another embodiment, the sensor managementsystem 304 can be configured to communicate with one or more localservers 330 as depicted in FIG. 3F, which have access to computingdevices 202 via a local network 320. The computing devices 202 canprovide sensor management information to the local servers 330. Thelocal servers 330 in turn can provide the sensor management system 304access to the sensor information collected from the computing devices202. In some embodiments, the local servers 330 can also be configuredto operate independently from the sensor management system 304.

It will be appreciated from the number of illustrations shown in FIGS.3A-3F that any number of network configurations between sensors 102 andother devices managing use of the sensors 102 is possible. It is furthernoted that the arrangements in FIGS. 3A-3F can be adapted for managingsensors worn by a patient located in a residence, a clinic, a doctor'soffice, a hospital, outdoors, while in transit, while traveling, and soon.

It is also noted that the communications network 302 and the localnetwork 320 shown in FIGS. 3A-3F can comprise a landline communicationsnetwork (e.g., packet switched landline networks, circuit switchednetworks, etc.), a wireless communications network (e.g., cellularcommunications, WiFi, etc.), or combinations thereof. It is also notedthat the computing device 202 of FIG. 2B can be configured to initiatecommunications with the biological sensor 102 and the communicationsnetwork 302 to provide the sensor management system 304 access to thebiological sensors 102 used by multiple patients. In this embodiment,the computing device 202 can serve as a gateway between thecommunications network 302 and the biological sensors 102. In otherembodiments, the biological sensors 102 can gain direct access to thecommunications network 302 by way of a gateway that provide internetaccess (e.g., a WiFi access point).

The sensor management system 304 can be configured to store endlessamounts of biological data of patients 100 over long periods of time(e.g., an entire lifetime and/or generations of patients) in databases306. Such data can serve to provide historical information that may beinvaluable to the patients 100 and their lineages.

Turning now to FIG. 4, a block diagram illustrating an example,non-limiting embodiment of a biological sensor 102 is shown. Thebiological sensor 102 can comprise a wireline and/or wirelesstransceiver 402 (herein transceiver 402), a power supply 414, a locationreceiver 416, a motion sensor 418, an orientation sensor 420, a display403, a memory 404, a drug delivery system 408, a biometric sensor 409,one or more sensors 410, and a controller 406 for managing operationsthereof. Not all of the components shown in the biological sensor 102are necessary. For example, in one embodiment the biological sensor 102can comprise the transceiver 402, the controller 406, the memory 404,one or more sensors 410, and the power supply 404. In other embodiments,the biological sensor 102 can further include one or more components notused in the previous embodiment such as a display 403, the drug deliverysystem 408, the biometric sensor 409, the location receiver 416, themotion sensor 418, the orientation sensor 420, or any combinationsthereof. Accordingly, any combinations of component of the biologicalsensor 102 depicted in FIG. 4 are possible and contemplated by thesubject disclosure.

Although FIGS. 1 and 2A-2B depict topical applications of the biologicalsensor 102 on an outer skin of the patient 100, in other embodiments,the biological sensor 102 can in whole or in part be embedded in apatient 100. For example, a certain sensor 410 may be embedded in a skinof the patient 100 while other components of the biological sensor 102may be located on an outer surface of the skin. In other embodiments, acertain sensor 410 may be attached to an organ (e.g., the heart).Accordingly, the biological sensor 102 can be located in a number ofplaces within a patient's body, outside a patient's body, orcombinations thereof.

The transceiver 402 can support short-range or long-range wirelessaccess technologies such as RFID, Near Field Communications (NFC),Bluetooth®, ZigBee®, WiFi, DECT, or cellular communication technologies,just to mention a few (Bluetooth® and ZigBee® are trademarks registeredby the Bluetooth® Special Interest Group and the ZigBee® Alliance,respectively). Cellular technologies can include, for example, CDMA-1X,UMTS/HSDPA, GSM/GPRS, TDMA/EDGE, EV/DO, WiMAX, SDR, LTE, as well asother next generation wireless communication technologies as they arise.The transceiver 402 can also be adapted to support cable protocols(e.g., USB, Firewire, Ethernet, or other suitable cable technologies),circuit-switched wireline access technologies (such as PSTN),packet-switched wireline access technologies (such as TCP/IP, VoIP,etc.), or combinations thereof.

The drug delivery system 408 can comprise micro-needles, one or morereservoirs of one or more drugs, and a piezo inkjet (not shown). Thepiezo inkjet can be coupled to the one or more reservoirs to selectivelydeliver dosages via the micro-needles. The piezo inkjet can be coupledto the controller 406 which can provide controlled delivery of dosagesof one or more drugs by the drug delivery system 408. The biometricsensor 409 can be a fingerprint sensor, a voice sensor (with a built-inmicrophone), or any other type of suitable biometric sensor foridentifying a user of the biological sensor 102. The sensors 410 can usecommon biological sensing technology for measuring biological functionsof a patient including, but not limited to, temperature, perspiration,pulse rate, blood pressure, respiration rate, glucose levels in theblood, SpO2, ECG/EKG, and so on.

The power supply 414 can utilize common power management technologiessuch as replaceable and rechargeable batteries, supply regulationtechnologies, and/or charging system technologies for supplying energyto the components of the biological sensor 102 to facilitate long-rangeor short-range portable applications. Alternatively, or in combination,the power supply 414 can utilize external power sources such as DC powersupplied over a physical interface such as a USB port or other suitabletethering technologies.

In other embodiments, the biological sensor can be battery-less. In thisembodiment, the power supply 414 can utilize circuitry that powers thecomponents of the biological sensor 102 utilizing RF energy received byan antenna or other receptive element. In one embodiment, for example,the biological sensor 102 can use NFC technology to intercept RF signalsgenerated by the computing device 202 when the computing device 202 isheld about a foot or less away from the biological sensor 102. Inanother embodiment, the biological sensor 102 can utilize battery-lesstechnology similar to that used by passive RFID devices. Other suitablebattery-less technologies can be applied to the embodiments of thesubject disclosure.

The location receiver 416 can utilize location technology such as aglobal positioning system (GPS) receiver capable of identifying alocation of the biological sensor 102 using signals generated by aconstellation of GPS satellites. The motion sensor 418 can utilizemotion sensing technology such as an accelerometer, a gyroscope, orother suitable motion sensing technology to detect a motion of thebiological sensor 102 in three-dimensional space. The orientation sensor420 can utilize orientation sensing technology such as a magnetometer todetect the orientation of the biological sensor 102 (north, south, west,east, as well as combined orientations in degrees, minutes, or othersuitable orientation metrics).

The controller 406 can utilize computing technologies such as amicroprocessor, a digital signal processor (DSP), programmable gatearrays, application specific integrated circuits, which can be coupledto the memory 404. The memory 404 can utilize memory technologies suchas Flash, ROM, RAM, SRAM, DRAM or other storage technologies forexecuting instructions, controlling operations of the biological sensor102, and for storing and processing sensing data supplied by theaforementioned components of the biological sensor 102.

Turning now to FIG. 5, a block diagram illustrating an example,non-limiting embodiment of a computing device 202 in accordance withvarious aspects of the subject disclosure is shown. Computing device 202can comprise a wireline and/or wireless transceiver 502 (hereintransceiver 502), a user interface (UI) 504, a power supply 514, alocation receiver 516, a motion sensor 518, an orientation sensor 520,and a controller 506 for managing operations thereof. The transceiver502 can support short-range or long-range wireless access technologiessuch as Bluetooth®, ZigBee®, WiFi, DECT, or cellular communicationtechnologies, just to mention a few. Cellular technologies can include,for example, CDMA-1X, UMTS/HSDPA, GSM/GPRS, TDMA/EDGE, EV/DO, WiMAX,SDR, LTE, as well as other next generation wireless communicationtechnologies as they arise. The transceiver 502 can also be adapted tosupport circuit-switched wireline access technologies (such as PSTN),packet-switched wireline access technologies (such as TCP/IP, VoIP,etc.), and combinations thereof.

The UI 504 can include a depressible or touch-sensitive keypad 508 witha navigation mechanism such as a roller ball, a joystick, a mouse, or anavigation disk for manipulating operations of the computing device 202.The keypad 508 can be an integral part of a housing assembly of thecomputing device 202 or an independent device operably coupled theretoby a tethered wireline interface (such as a USB cable) or a wirelessinterface supporting for example Bluetooth®. The keypad 508 canrepresent a numeric keypad commonly used by phones, and/or a QWERTYkeypad with alphanumeric keys. The UI 504 can further include a display510 such as monochrome or color LCD (Liquid Crystal Display), OLED(Organic Light Emitting Diode) or other suitable display technology forconveying images to an end user of the computing device 202. In anembodiment where the display 510 is touch-sensitive, a portion or all ofthe keypad 508 can be presented by way of the display 510 withnavigation features.

In another embodiment, display 510 can use touch screen technology toserve as a user interface for detecting user input. As a touch screendisplay, the computing device 202 can be adapted to present a userinterface with graphical user interface (GUI) elements that can beselected by a user with a touch of a finger. The touch screen display510 can be equipped with capacitive, resistive or other forms of sensingtechnology to detect how much surface area of a user's finger has beenplaced on a portion of the touch screen display. This sensinginformation can be used to control the manipulation of the GUI elementsor other functions of the user interface. The display 510 can be anintegral part of the housing assembly of the computing device 202 or anindependent device communicatively coupled thereto by a tetheredwireline interface (such as a cable) or a wireless interface.

The UI 504 can also include an audio system 512 that utilizes audiotechnology for conveying low volume audio (such as audio heard inproximity of a human ear) and high volume audio (such as speakerphonefor hands free operation). The audio system 512 can further include amicrophone for receiving audible signals of an end user. The audiosystem 512 can also be used for voice recognition applications. The UI504 can further include an image sensor 513 such as a charged coupleddevice (CCD) camera for capturing still or moving images.

The power supply 514 can utilize common power management technologiessuch as replaceable and rechargeable batteries, supply regulationtechnologies, and/or charging system technologies for supplying energyto the components of the computing device 202 to facilitate long-rangeor short-range portable applications. Alternatively, or in combination,the charging system can utilize external power sources such as DC powersupplied over a physical interface such as a USB port or other suitabletethering technologies.

The location receiver 516 can utilize location technology such as a GPSreceiver for identifying a location of the computing device 202 based onsignals generated by a constellation of GPS satellites, which can beused for facilitating location services such as navigation. The motionsensor 518 can utilize motion sensing technology such as anaccelerometer, a gyroscope, or other suitable motion sensing technologyto detect motion of the computing device 202 in three-dimensional space.The orientation sensor 520 can utilize orientation sensing technologysuch as a magnetometer to detect the orientation of the computing device202 (north, south, west, and east, as well as combined orientations indegrees, minutes, or other suitable orientation metrics).

The controller 506 can utilize computing technologies such as amicroprocessor, a digital signal processor (DSP), programmable gatearrays, application specific integrated circuits, and/or a videoprocessor with associated storage memory such as Flash, ROM, RAM, SRAM,DRAM or other storage technologies for executing computer instructions,controlling, and processing data supplied by the aforementionedcomponents of the computing device 202.

Other components not shown in FIG. 5 can be used in one or moreembodiments of the subject disclosure. For instance, the computingdevice 202 can also include a slot for adding or removing an identitymodule such as a Subscriber Identity Module (SIM) card. SIM cards can beused for identifying subscriber services, executing programs, storingsubscriber data, and so forth. The computing device 202 as describedherein can operate with more or less of the circuit components shown inFIG. 5. These variant embodiments can be used in one or more embodimentsof the subject disclosure.

Turning now to FIG. 6, a block diagram illustrating an example,non-limiting embodiment of a method 600 in accordance with variousaspects of the subject disclosure is shown. Method 600 can be applied toany combination of the embodiments of FIGS. 1, 2A-2B, 3A-3B, and 4-5.Method 600 can begin with step 602 where a biological sensor 102 isplaced on a patient 100 by one of a number of known means such as, forexample, being placed by a clinician (e.g., a nurse as shown in FIG.2A). In one embodiment, the biological sensor 102 can utilize anadhesive for coupling to the skin of the patient 100. In anotherembodiment, the clinician can be a surgeon that implants the biologicalsensor 102 in whole or in part in a body portion of the patient 100.

At step 604, the biological sensor 102 can be configured to initiatecommunications with a system. In one embodiment the biological sensor102 can initiate communications with a computing device 202 such asshown in FIG. 2B. In this embodiment, the biological sensor 102 caninitiate communications utilizing, for example, short range wirelesstechnology such as near field communications (NFC), Bluetooth®, ZigBee®,WiFi or other suitable short range wireless communications technology.The computing device 202 in turn can communicate with the sensormanagement system 304 via the communications network 302 to provide thesensor management system 304 access to information supplied by thebiological sensor 102.

In another embodiment, the biological sensor 102 can initiatecommunications with the sensor management system 304 by way of thecommunications network 302 utilizing long range wireless technology suchcellular technology or other suitable long range wireless communicationstechnology. In yet another embodiment, the biological sensor 102 caninitiate communications with the sensor management system 304 by way ofthe communications network 302 utilizing wireline communicationstechnology.

In one embodiment, for example, the biological sensor 102 can betethered to the computing device 202 with a cable (e.g., a USB cable).In this embodiment, the computing device 202 can provide the sensormanagement system 304 access to information supplied by the biologicalsensor 102. In another embodiment, the biological sensor 102 can haveaccess to a local network providing connectivity to the Internet by wayof a cable (e.g., Ethernet cable). In this embodiment, the sensormanagement system 304 can have direct access to the biological sensor102.

Based on the foregoing embodiments, the system referred to in step 604and in subsequent steps can be represented by the computing device 202,the sensor management system 304, or a combination thereof. The termsystem as utilized in method 600 can be adapted to represent solely thecomputing device 202, solely the sensor management system 304, or acombination of the computing device 202 and the sensor management system304, each configured to cooperate therebetween in a manner that achievesthe embodiments described by method 600. It is also noted that otherarrangements are possible as shown in FIGS. 3A-3F.

At step 606, the system can determine whether the biological sensor 102is provisioned. This determination can be made a number of ways. Forexample, a clinician 101 can enter information on a computing device 202which signals the sensor management system 304 that the biologicalsensor 102 is a new sensor placed on patient 100, which has not beenprovisioned. In another embodiment, the biological sensor 102 can bepolled by the sensor management system 304 (or by the computing device202) to determine if the biological sensor 102 has been provisioned. Inanother embodiment, the sensor management system 304 (and/or thecomputing device 202) can be configured to determine that a priorbiological sensor 102 has been used (or is currently in use) by thepatient 100 and the new biological sensor 102 that was detected is of adifferent serial number, but functionally equivalent or similar to theprior biological sensor 102.

In another embodiment, the sensor management system 304 (or thecomputing device 202) can be configured to receive from the biologicalsensor 102 an identification of the patient 100. To obtain thisinformation, the biological sensor 102 can be configured to receive theidentification of the patient 100 from the computing device 202. Inanother embodiment, the biological sensor 102 can obtain theidentification from a wristband worn by the patient 100 that includes anRFID device or other device suitable to convey the identification of thepatient 100 wirelessly to the biological sensor 102. Upon obtaining theidentification of the patient 100, the sensor management system 304 (orthe computing device 202) can be configured to retrieve a record of thepatient 100 indexed according to the identification of the patient, anddetect therefrom that the biological sensor 102 is not identified in achart of the patient 100.

In yet another embodiment, the sensor management system 304 (or thecomputing device 202) can be configured to detect an expiration of autilization period applied to a prior biological sensor 102 anddetermine that the biological sensor 102 now detected is a replacementsensor that has not been provisioned. There are many other ways toperform inventory management of biological sensors 102 to determine whenthe biological sensor 102 is not provisioned. For example, the sensormanagement system 304 (or the computing device 202) can be configured todetect that provisioning data stored by the sensor management system 304(or the computing device 202) is not synchronized with data stored inthe biological sensor 102 by comparing time stamps associated with datastored in the biological sensor 102 to time stamps associated with datastored in the databases 306 of the sensor management system 304 (or thememory of the computing device 202). If the time stamps of the sensormanagement system 304 (or the memory of the computing device 202) arenot the same as the time stamps of the biological sensor 102, then thesensor management system 304 (or the computing device 202) can detectthe biological sensor 102 has not been provisioned. In yet anotherembodiment, the biological sensor 102 can provide the sensor managementsystem 304 (or the computing device 202) information indicating it hasnot been provisioned.

These and other alternative embodiments for determining whether abiological sensor 102 is provisioned are contemplated by the subjectdisclosure.

Referring back to step 606, if the sensor management system 304 (or thecomputing device 202) detects the biological sensor 102 is notprovisioned, the sensor management system 304 (or the computing device202) can proceed to step 608 where it can determine whether historicalsensor data is available. The historical sensor data can originate fromprior biological sensors used by the patient 100. The historical sensordata can represent data captured minutes, hours, days, months or yearsbefore the new biological sensor 102 is detected at step 604. If thehistorical sensor data is available, the sensor management system 304(or the computing device 202) can proceed to step 610 to obtain suchdata from a memory device used to retain records of the patient 100(e.g., the customer sensor databases 306 or an internal memory of thecomputing device 202).

Once the historical sensor data is obtained, the sensor managementsystem 304 (or the computing device 202) can proceed to step 614 todetermine normative conditions and/or thresholds for detecting one ormore biological conditions of the patient 100 from the historical sensordata collected from one or more previously used biological sensors 102.The historical sensor data collected from the one or more previouslyused biological sensors 102 can be over a period of time such asminutes, hours, days, weeks, months, years, or longer. The time periodused for selecting historical sensor data can be driven by a number offactors. For example, the time period may be based on a specificprotocol initiated by a clinician (nurse and/or doctor). The protocolcan be initiated as a result of a procedure performed on the patient(e.g., surgery, therapy, drug application, and so on), a protocol formonitoring patient vitals, or a protocol customized by the clinician toaddress a particular disease. Any medical protocol prescribed by theclinician or a medical organization are contemplated by the subjectdisclosure. Once a time period is selected, the historical sensor datacan be analyzed to identify one or more normative conditions and/orthresholds for the patient 100. FIGS. 7A-7D illustrate non-limitingexample embodiments for determining normative conditions, and thresholdsfor detecting biological conditions.

Turning now to FIG. 7A, a block diagram illustrating an example,non-limiting embodiment of a plot of sensor data of a plurality ofpatients in accordance with various aspects of the subject disclosure isshown. FIG. 7 depicts three patients (A), (B) and (C). Historical sensordata of patient (A) indicates that the patient has had an averagetemperature of 99.5° Fahrenheit (F) over a select period. In oneembodiment, the clinician may be aware that patient (A) has exhibitedthis temperature over extended periods of time and thereby can form anopinion that such a temperature does not pose a health risk to patient(A) even though it is higher than a population norm of 98.6° F. In oneembodiment, the clinician can record his opinion in a chart of patient(A), which can be accessible to the sensor management system 304 (or thecomputing device 202). In one embodiment, the sensor management system304 (or the computing device 202) can access the chart of patient (A)and determine from the clinician's opinion that such a temperature maybe considered a normative condition for patient (A) given thephysiological state and health of patient (A). In another embodiment,the sensor management system 304 (or the computing device 202) cananalyze the sensor data of the patient (A) in relation to the patient'stemperature, other sensory data (e.g., blood pressure, pulse rate,respiration rate, blood pressure and so on) and/or other medicalhistory, and determine, without relying on the clinician's opinion, thatsuch a temperature may be considered a normative condition for patient(A) given the physiological state and health of patient (A).

In another embodiment, the clinician may be aware that patient (A) maybe subject to an illness that the clinician expects will result in arise in temperature, which the clinician records in the chart of patient(A). In yet another embodiment, the clinician may be applying a drugtreatment to patient (A) that the clinician knows will cause a rise intemperature, which the clinician records in the chart of patient (A).The sensor management system 304 (or the computing device 202) can beconfigured to analyze the chart of patient (A) and consider thetemperature a normative condition of patient (A) based on the entries ofthe clinician indicating an expected rise in temperature. Alternatively,the sensor management system 304 (or the computing device 202) can beconfigured to analyze the sensor data, detect from the chart thatpatient (A) has an illness, or is subject to a drug therapy, accessinformation relating to the illness or drug therapy (from databases 306or other information storage system(s)), and determine, without relyingon the clinician's opinion, from the sensor data and the informationobtained about the illness or drug therapy that the temperature ofpatient (A) would be higher than normal, and therefore can be considereda normative condition of patient (A).

Turning now to patient (B), the historical sensor data of patient (B)indicates that the patient has had an average temperature of 96.4° F.over a select period. In one embodiment, the clinician may be aware thatpatient (B) has exhibited this temperature over extended periods of timeand that such a temperature does not pose a health risk to patient (B).Clinician can record his or her opinion in a chart of patient (B)accessible to the sensor management system 304 (or the computing device202). Thus such a temperature may be considered a normative conditionfor patient (B) given the physiological state and health of patient (B).In another embodiment, the clinician may be aware that patient (B) maybe subject to an illness that results in such a temperature. In yetanother embodiment, the clinician may be applying a drug treatment topatient (B) that the clinician knows will cause a drop in temperature.

The sensor management system 304 (or the computing device 202) can beconfigured to analyze the chart of patient (B) and consider thetemperature a normative condition of patient (B) based on the entries ofthe clinician indicating an expected drop in temperature. Alternatively,the sensor management system 304 (or the computing device 202) can beconfigured to analyze the sensor data, detect from the chart thatpatient (B) has an illness, or is subject to a drug therapy, accessinformation relating to the illness or drug therapy (from databases 306or other information storage system(s)), and determine, without relyingon the clinician's opinion, from the sensor data and the informationobtained about the illness or drug therapy that the temperature ofpatient (B) would be lower than normal, and therefore can consider it anormative condition of patient (B).

Turning now to patient (C), the historical sensor data of patient (C)indicates that the patient has had an average temperature of 98.6° F.over a select period, which coincides with what most clinicians mayconsider an average temperature for the general population. Thus theclinician does not have to consider exceptions for patient (C).Accordingly, this temperature will be used as a normative condition forpatient (C). The sensor management system 304 (or the computing device202) can be configured to analyze the chart of patient (C) and considerthe temperature a normative condition of patient (C). Alternatively, thesensor management system 304 (or the computing device 202) can beconfigured to analyze the sensor data, and determine, without relying onthe clinician's opinion, that the sensor data coincides with the generalpopulation, and therefore can consider it a normative condition ofpatient (C).

Turning now to FIG. 7B, a block diagram illustrating an example,non-limiting embodiment of a plot of sensor data of the plurality ofpatients (A)-(C) of FIG. 7A. Historical sensor data of patient (A)indicates that the patient has had an average pulse rate of 80 beats perminute over a select period. The sensor management system 304 (or thecomputing device 202) can be configured to consider such a pulse rate anormative condition for patient (A) given that a range of 60 to 100beats per minute is generally a healthy pulse rate. In one embodiment,the clinician can record his opinion in a chart of patient (A), whichcan be accessed by the sensor management system 304 (or the computingdevice 202).

Turning now to patient (B), the historical sensor data of patient (B)indicates that the patient has had an average pulse rate of 50 beats perminute over a select period. In one embodiment, the clinician may beaware that patient (B) has exhibited this pulse rate over extendedperiods of time given the athletic training undertaken by patient (B).In one embodiment, the clinician can record his opinion in a chart ofpatient (B), which can be accessed by the sensor management system 304(or the computing device 202). In one embodiment, the sensor managementsystem 304 (or the computing device 202) can access the chart of patient(B) and determine from the clinician's opinion that such a pulse ratemay be considered a normative condition for patient (B) given thephysiological state and health of patient (B). In another embodiment,the sensor management system 304 (or the computing device 202) cananalyze the sensor data of the patient (B) in relation to the patient'spulse rate, other sensory data (e.g., temperature, blood pressure,respiration rate, blood pressure and so on) and other medical history,and determine, without relying on the clinician's opinion, that such apulse rate may be considered a normative condition for patient (B) giventhe physiological state and health of patient (B).

Turning now to patient (C), the historical sensor data of patient (C)indicates that the patient has had an average pulse rate of 105 beatsper minute over a select period, which is above normal. In oneembodiment, the clinician may be aware that patient (C) has a conditionsuch as, for example, hypertension, coronary artery disease, thyroiddisease, etc., which can result in a higher pulse rate that theclinician records in the chart of patient (C). In yet anotherembodiment, the clinician may be applying a drug treatment to patient(C) that the clinician knows will cause a rise in pulse rate, which theclinician records in the chart of patient (C).

In one embodiment, the sensor management system 304 (or the computingdevice 202) can be configured to analyze the chart of patient (C) andconsider the pulse rate a normative condition of patient (C) based onthe entries of the clinician indicating an expected rise in pulse rate.Alternatively, the sensor management system 304 (or the computing device202) can be configured to analyze the sensor data, detect from the chartthat patient (C) has an illness, or is subject to a drug therapy, accessinformation relating to the illness or drug therapy (from databases 306or other information storage system(s)), and determine, without relyingon the clinician's opinion, from the sensor data and the informationobtained about the illness or drug therapy that the pulse rate ofpatient (C) would be higher than normal, and therefore can be considereda normative condition of patient (C).

Turning now to FIG. 7C, a block diagram illustrating an example,non-limiting embodiment of temperature thresholds used for monitoringbiological conditions of the plurality of patients (A)-(C) according tothe sensor data of FIG. 7A. Turning now to patient A, given thenormative condition of patient (A) averages at 99.5° F., the clinicianmay consider an adverse biological condition to begin at 101° F. If, forexample, patient (A) does not have an illness or is not being treatedwith drug therapy to cause a normative condition at 99.5° F., then athreshold of 101° F. may be considered the beginning of a fever. If, onthe other hand, patient (A) is subject to an illness or drug therapyresulting in the normative condition, then a rise in temperature to 101°F. may reflect an adverse biological condition that is more than just afever. For example, the adverse biological condition may represent abody's negative reaction to the drug therapy and/or a worsening of theillness. In one embodiment, the threshold can be established by theclinician, which the clinician can record in the chart of patient (A).In another embodiment the threshold can be established by protocolsrelating to the illness and/or the drug therapy.

In one embodiment, the sensor management system 304 (or the computingdevice 202) can be configured to analyze the chart of patient (A) andgenerate the threshold shown in FIG. 7C. Alternatively, the sensormanagement system 304 (or the computing device 202) can be configured toanalyze the normative condition of patient (A), detect from the chartthat patient (A) has an illness, and/or is subject to a drug therapy,access information relating to the illness and/or drug therapy (e.g.,specific protocols), and determine, without relying on the clinician'sproposed threshold, the threshold shown in FIG. 7C.

Turning now to patient (B), given the normative condition of patient (B)averages at 96.4° F., the clinician may consider an adverse biologicalcondition to begin at 99° F. If, for example, patient (B) does not havean illness or is not being treated with drug therapy to cause anormative condition at 96.4° F., then a threshold of 99° F. may beconsidered the beginning of a fever. If, on the other hand, patient (B)is subject to an illness or drug therapy resulting in the normativecondition, then a rise in temperature to 99° F. may reflect an adversebiological condition that is more than just a fever. For example, theadverse biological condition may represent a body's negative reaction tothe drug therapy and/or a worsening of the illness. In one embodiment,the threshold can be established by the clinician, which the cliniciancan record in the chart of patient (B). In another embodiment thethreshold can be established by protocols relating to the illness and/orthe drug therapy.

In one embodiment, the sensor management system 304 (or the computingdevice 202) can be configured to analyze the chart of patient (B) andgenerate the threshold shown in FIG. 7C. Alternatively, the sensormanagement system 304 (or the computing device 202) can be configured toanalyze the normative condition of patient (B), detect from the chartthat patient (B) has an illness, and/or is subject to a drug therapy,access information relating to the illness and/or drug therapy (e.g.,specific protocols), and determine, without relying on the clinician'sproposed threshold, the threshold shown in FIG. 7C.

Turning now to patient (C), given the normative condition of patient (C)averages at 98.6° F. is considered normal for the general population,the clinician may consider an adverse biological condition to begin at100.4° F. Such a threshold can be used for detecting a fever. Theclinician can record in the chart of patient (C) that patient (C)exhibits the temperature norm of the general population. The sensormanagement system 304 (or the computing device 202) can be configured toanalyze the chart of patient (C) and generate the threshold shown inFIG. 7C. Alternatively, the sensor management system 304 (or thecomputing device 202) can be configured to analyze the normativecondition of patient (C), and determine that an appropriate thresholdfor detecting a fever follows the norm of the general population andthus arrive at the threshold shown in FIG. 7C.

Turning now to FIG. 7D, a block diagram illustrating an example,non-limiting embodiment of pulse rate thresholds used for monitoringbiological conditions of the plurality of patients (A)-(C) according tothe sensor data of FIG. 7B. Turning now to patient A, given thenormative condition of patient (A) averages at 80 beats per minute,which is considered normal for the general population, the clinician mayconsider an adverse biological condition to begin at 105 beats perminute when the patient is at rest (5% above the norm of the generalpopulation, which is 100 beats per minute). The biological sensor 102used by patient (A) can detect that the patient is at rest utilizing,for example, the motion sensor 418 depicted in FIG. 4. In oneembodiment, the threshold can be established by the clinician, which theclinician can record in the chart of patient (A). In one embodiment, thesensor management system 304 (or the computing device 202) can beconfigured to analyze the chart of patient (A) and generate thethreshold shown in FIG. 7D. Alternatively, the sensor management system304 (or the computing device 202) can be configured to analyze thenormative condition of patient (A), and determine, without relying onthe clinician's opinion, that patient (A) should use a threshold appliedto the general population, such as, for example, a threshold of 100beats per minute.

Turning now to patient (B), given the normative condition of patient (B)averages at 50 beats per minute, if, for example, patient (B) does nothave an illness and is not being treated with drug therapy to cause anormative condition at 50 beats per minute, then the clinician mayconsider an adverse biological condition to begin at 90 beats per minutewhen the patient is at rest. Even though 90 beats per minute is below apopulation threshold of 100 beats per minute, the clinician may considera change from 50 to 90 beats per minute to be a substantial change for apatient with a history of rigorous athletic training. The biologicalsensor 102 used by patient (B) can detect that the patient is at restutilizing, for example, the motion sensor 418 depicted in FIG. 4. Thechart of patient (B) may also include information indicating the lasttime patient (B) was measured at 50 beats per minute.

In one embodiment, the sensor management system 304 (or the computingdevice 202) can be configured to determine from the chart of patient (B)the threshold of 90 beats per minute and thereafter monitor patient (B)for unexpected changes. The sensor management system 304 (or thecomputing device 202) can also be configured to detect unexpected rapidchanges in pulse rate in a relatively short period (e.g., 48 hours orless). Further, the sensor management system 304 (or the computingdevice 202) can also be configured to detect a trend in the pulse rateof patient (B) (e.g., an upward trend in pulse rate over weeks ormonths).

Turning now to patient (C), given the normative condition of patient (C)averages at 105 beats per minute, which is high (likely due to illness,e.g., hypertension), the clinician may consider an adverse biologicalcondition to begin at 100 beats per minute when patient (C) is at rest.The clinician may have set a threshold below the normative condition asa result of the clinician prescribing medication to reduce hypertensionin patient 100. Such prescription may reduce the pulse rate of thepatient by, for example, 15% (e.g., ˜90 beats per minute). The cliniciancan enter the prescribed medication in the chart of patient 100 which isaccessible to the sensor management system 304 (or the computing device202). Although FIG. 7B shows a normative condition of 105 beats perminute, the sensor management system 304 (or the computing device 202)can be configured to recognize an adjusted normative condition of 90beats per minute while patient 100 is using the hypertension medication.

In one embodiment, the sensor management system 304 (or the computingdevice 202) can be configured to determine from the chart of patient (C)the threshold of 100 beats per minute and thereafter monitor patient (C)for unexpected changes. The sensor management system 304 (or thecomputing device 202) can also be configured to detect unexpected rapidchanges in pulse rate in a relatively short period (e.g., 48 hours orless). Further, the sensor management system 304 (or the computingdevice 202) can also be configured to detect a trend in the pulse rateof patient (C) (e.g., an upward trend in pulse rate over weeks ormonths).

The foregoing embodiments for determining normative conditions andthresholds of a patient as shown in FIGS. 7A-7D can also be used forother vital signs (e.g., blood pressure, respiration rate), as well asto other biological functions that can be measured for a patient (e.g.,red cell count, SpO2, glucose levels in the blood, electrocardiogrammeasurements, and so on). Additionally, the sensor management system 304(or the computing device 202) can be configured to analyze sensor dataof more than one biological function at a time to assess normativeconditions and thresholds rather than relying on a single biologicalfunction. The sensor management system 304 (or the computing device 202)can, for example, correlate one type of biological sensor data (e.g.,pulse rate) with another type of biological sensor data (e.g., bloodpressure) to determine a normative condition and/or threshold. In thismanner, the sensor management system 304 (or the computing device 202)can perform a more holistic analysis of the patient's sensor data.

It is further noted that the normative conditions and the thresholds ofFIGS. 7A-7D can have a temporal component. That is, a normativecondition may be considered normative only for a period of time eitherby instructions from the clinician, medical protocols and/or othermedical conditions associated with the patient 100 that can bedetermined by the sensor management system 304 (or the computing device202). In one embodiment, a threshold can be set for a specific timeperiod. For example, the sensor management system 304 (or the computingdevice 202) can detect when a drug therapy has begun and when it ends byobtaining information from the chart of the patient 100. In anembodiment, the sensor management system 304 (or the computing device202) can be configured to change normative conditions and correspondingthresholds upon expiration of such periods.

In another embodiment, the sensor management system 304 (or thecomputing device 202) can be adapted to use ranges of the normativeconditions and thresholds shown in FIGS. 7A-7D. That is, a normativecondition and/or a threshold can have a range having an upper and lowerlimit. In another embodiment, more than one normative condition and morethan one threshold can be used to identify different biologicalconditions that may arise in a patient as the patient's sensor datashows measurements drifting in one direction or another. In yet anotherembodiment, the sensor management system 304 (or the computing device202) can be adapted to detect sensor data trends that it can use topredict future outcomes before they occur. A sensor data trend can, forexample, identify a specific course that measurements may be taking,which in turn can provide the sensor management system 304 (or thecomputing device 202) a projected trajectory and time when an adversecondition may occur. In another embodiment, the sensor management system304 (or the computing device 202) can be adapted to detect erraticchanges in sensor data. Such changes can be flagged as a problem withthe biological sensors 102 (e.g., a malfunction) and/or biologicalissues that may need to be addressed.

It is further noted that algorithms for detecting biological conditionscan be generated by the sensor management system 304 (or the computingdevice 202). In one embodiment, for example, the sensor managementsystem 304 (or the computing device 202) can be configured to generate ascript or software program that emulates a specific medical protocolused for detecting biological conditions associated with an illness ofthe patient, an adverse reaction to a drug therapy being applied to thepatient, or some other biological condition to be monitored. The scriptor software can be generated by the sensor management system 304 (or thecomputing device 202) can, for example, detect trends, detect whensensor measurements exceed thresholds, detect erratic or rapid changes,applying hysteresis to sensor measurements to filter out short bursts ofanomalous readings, detect malfunctions in the biological sensor 102,and so on. So long as the biological sensor 102 has the computingresources, any algorithm of any complexity can be supplied to thebiological sensor 102. For example, a script or software can determinehow often a patient 100 is sensed. Patients that are healthy, forinstance, may be sensed less frequently thereby saving battery power ofthe sensor 102. Patients that may have a condition may have a script orsoftware that's more aggressive on readings.

The script or software can comprise instructions executable by thebiological sensor 102, or macro instructions that can be translated(compiled) by the biological sensor 102 into executable instructions.Each algorithm can be given a version which can be sent to thebiological sensors 102 for version tracking. As medical protocolschange, the sensor management system 304 (or the computing device 202)can query biological sensors 102 for versions and download newalgorithmic versions when a version used by the biological sensors 102is out-of-date. The sensor management system 304 (or the computingdevice 202) can also be configured to provide new algorithmic versionsto the biological sensors 102 that are pre-programmed with a certainalgorithmic version that may be out-of-date.

Referring back to FIG. 6, the foregoing embodiments illustrate ways toprocess historical sensor data obtained at step 610 (and chartinformation if available for the patient 100) to determine normativeconditions and/or thresholds at step 614. It is noted that chartinformation may be electronically stored by the sensor management system304, the computing device 202, or other storage systems accessible bythe sensor management system 304 and/or the computing device 202.

Referring back to step 608, if the sensor management system 304 (or thecomputing device 202) detects that historical sensor data is notavailable for the patient 100, the sensor management system 304 (or thecomputing device 202) can proceed to step 612. At this step, the sensormanagement system 304 (or the computing device 202) can collect sensordata from the new sensor until sufficient sensor data is available todetermine normative conditions and/or thresholds for the patientaccording to the sensor data (and chart information if available for thepatient).

Referring now to step 614, once the normative condition(s) and/orthreshold(s) have been determined according to historical sensor dataobtained at step 610, the sensor management system 304 (or the computingdevice 202) can proceed to step 616 and generate provisioninginformation for the new biological sensor 102 detected at step 606. Theprovisioning information can include, among other things, one or morenormative conditions, one or more thresholds, one or more algorithms (ifthe biological sensor 102 is not pre-programmed or has an out-of-datealgorithm), a most recent history of sensor data measurements (e.g.,measurements performed in the last hour), identification information ofthe patient 100, a last known location of the patient, certain chartinformation relating to the patient (e.g., illness type, drug therapytype, date of surgery, type of surgery, etc.), and so on. The amount ofinformation included in the provisioning information generated at step616 can depend on the memory resources of the biological sensor 102, thefunction of the biological sensor 102, usage preferences of theclinician (e.g., ability to recall a short history of sensor data), andso forth.

Once provisioning information has been generated, the sensor managementsystem 304 (or the computing device 202) can proceed to step 618 andprovide the provisioning information to the biological sensor 102. Thebiological sensor 102 can then begin to monitor one or more biologicalconditions of the patient at step 620. Such conditions can be determinedfrom an algorithm provided to (or pre-programmed in) the biologicalsensor 102. In one embodiment, the algorithm can detect that sensormeasurements exceed a specific threshold or a threshold range. In otherembodiments, the algorithm can detect sensor data trends, erratic orrapid changes, and/or predict future outcomes. At step 622, thebiological sensor 102 can provide the sensor management system 304 (orthe computing device 202) information relating to detection ofbiological conditions monitored by the biological sensor 102, includingwithout limitations, sensor data measurements, measurements exceeding aspecific threshold or threshold range, trends in sensor data, erratic orrapid changes in sensor data, predicted adverse biological conditions,and so on. Such information can be provided to the sensor managementsystem 304 (or the computing device 202) with time stamps (e.g., time ofday: hours/minutes/second, date: month/day/year).

If trend information is not provided at step 622, the sensor managementsystem 304 (or the computing device 202) can be configured at step 624to analyze the sensor data to detect trends, erratic or rapid changesand so on. The sensor management system 304 (or the computing device202) can also be configured to report a status of biological conditionsof the patient 100 to clinicians. For example, if no adverse biologicalconditions have been detected, the clinician can be provided a historyof the measured sensor data in a status report that indicates no adversebiological conditions were detected. If, on the other hand, one or moreadverse biological conditions were detected, the clinician can beprovided with a detailed report that includes sensor data that exceededone or more thresholds, time stamp information associated with thesensor data, and so on. The sensor management system 304 (or thecomputing device 202) can also be configured to provide trendinformation if available. If adverse biological conditions are notpresently detected, but trend information predicts a future adversecondition, then the sensor management system 304 (or the computingdevice 202) can provide such information to the clinician to enable theclinician to take preemptive action to avoid such adverse condition fromoccurring.

At steps 626-628, the sensor management system 304 (or the computingdevice 202) can monitor placement of another new biological sensor 102on the patient 100. If another new biological sensor 102 is notdetected, the sensor management system 304 (or the computing device 202)can proceed to step 620 and repeat the processes previously described.If, however, another new biological sensor 102 is detected, the sensormanagement system 304 (or the computing device 202) can proceed to step628 to obtain a model number, serial number or other identification datafrom the new biological sensor 102 to determine if the new sensor is ofthe same type and function as the previous sensor. Additionally, thesensor management system 304 (or the computing device 202) can obtainpatient identification data from the new biological sensor 102, whichthe biological sensor may have obtained from a wrist band of the patientincluding an RFID, the biometric sensor 409 of FIG. 4, or by patientinformation provided to the biological sensor 102 by way of thecomputing device 202 of the clinician as depicted in FIG. 2B.

If the new biological sensor 102 is the same as the previous sensor andhas been coupled to the same patient, then the sensor management system304 (or the computing device 202) can proceed to step 630 and determineif the new biological sensor 102 is a replacement for the previous samesensor. If the new biological sensor 102 is not the same as the previoussensor, a determination can be made whether the new sensor is areplacement sensor by the sensor management system 304 (or the computingdevice 202) by obtaining information from the new sensor indicating itis a replacement sensor, determining that the new sensor does have inits memory a patient identifier, or by receiving input data from, forexample, the computing device 202 initiated by, for example, aclinician, indicating it is a replacement sensor. If such information isnot provided by the new sensor or the computing device 202, and/or thenew sensor has been coupled to a different patient, then the sensormanagement system 304 (or the computing device 202) can proceed to step606 and perform the same sequence of steps previously described for thesame patient if the new sensor is associated with the same patient, orfor a different patient in which case a new record would be created inthe databases 306 or other storage resources of the sensor managementsystem 304 (or the computing device 202).

Referring back to step 630, in one embodiment, the sensor managementsystem 304 (or the computing device 202) can determine that the newbiological sensor 102 is replacing the previous sensor upon receiving amessage from the computing device 202 of the clinician as noted above.The message can indicate which sensor is being replaced by identifyingthe serial number of the previous sensor in the message and identifyingthe serial number of the new sensor. In another embodiment, the sensormanagement system 304 (or the computing device 202) can determine thatthe new biological sensor 102 is replacing a previous sensor based onthe new biological sensor 102 not being programmed with a patientidentifier. In yet another embodiment, the sensor management system 304(or the computing device 202) can determine that the new biologicalsensor 102 is replacing a previous sensor based on an understanding thattwo of the same type of sensors for the same patient is not commonpractice for the clinician and in such instances detecting a new sensorrepresents a replacement procedure undertaken by the clinician. Itshould be noted that there may be instances when a new biological sensorof the same type will not be considered a replacement sensor. Forexample, a clinician may wish to use the same sensor in multiplelocations of a patient's body. Such exceptions can be noted by theclinician using the computing device 202. In yet another embodiment, thesensor management system 304 (or the computing device 202) can determinethat the new biological sensor 102 is replacing a previous sensor basedon a utilization period of the previous sensor expiring or detectingthat the previous sensor is damaged or malfunctioning. Other suitabledetection methods for determining a replacement of sensors arecontemplated by the subject disclosure.

Once a replacement event is detected, the sensor management system 304(or the computing device 202) can proceed to step 634 and decommissionthe previous sensor. The decommissioning process can represent noting ina record of the patient 100 that the serial number of the biologicalsensor 102 being replaced has been decommissioned. Once the sensor isdecommissioned, the sensor management system 304 (or the computingdevice 202) can be configured to ignore sensor data from thedecommissioned sensor if such data were to be provided. The sensormanagement system 304 (or the computing device 202) can then proceed tostep 610 to obtain historical sensor data produced by the previoussensor and any predecessor sensors. The sensor management system 304 (orthe computing device 202) can then proceed to perform subsequent stepsas previously described. The sensor management system 304 (or thecomputing device 202) can be provisioned to provide the new biologicalsensor 102 some or all of the obtained historical sensor data of one ormore previous sensors for local storage, enabling retrieval by thecomputing device 202 if desired. It is further noted that the steps ofmethod 600 can be adapted so that the sensors 102 (new or old) canproactively (e.g., without polling by the sensor management system 304or the computing device 202) initiate communications with the sensormanagement system 304 or the computing device 202 and provide updates asneeded. Such a process can be pre-programmed into the sensors 102 or ascript or software can be provided to the sensors 102 by the sensormanagement system 304 or the computing device 202 to enable a proactivecommunication process.

It will be appreciated that the foregoing embodiments can be implementedand executed in whole or in part by the biological sensor 102, thecomputing device 202, the sensor management system 304, or anycombination thereof. It is further appreciated that the biologicalsensor 102, the computing device 202, the sensor management system 304,or any combination thereof, can be adapted to in whole or in part to useone or more signal profiles for detecting a biological condition. Thesignal profiles can be, for example, time domain or frequency domainprofiles, which can be used to detect biological conditions.Additionally, a signal profile can be specific to each user. That is, asignal profile can be determined for a specific patient 100 accordinghistorical sensor data (e.g., EKG data, spectrometer data, etc.)collected from the patient 100. Accordingly, a clinician 101 canconfigure a biological sensor 102 to be tailored to the patient's 100clinical history rather than utilizing a signal profile applied to thegeneral population.

While for purposes of simplicity of explanation, the respectiveprocesses are shown and described as a series of blocks in FIG. 6, it isto be understood and appreciated that the claimed subject matter is notlimited by the order of the blocks, as some blocks may occur indifferent orders and/or concurrently with other blocks from what isdepicted and described herein. Moreover, not all illustrated blocks maybe required to implement the methods described herein.

Upon reviewing the aforementioned embodiments, it would be evident to anartisan with ordinary skill in the art that said embodiments can bemodified, reduced, or enhanced without departing from the scope of theclaims described below. For example, method 600 can be adapted so thatthe sensor management system 304 or the computing device 202 tracks GPScoordinates of patients 100 using a location receiver 416 of thebiological sensor 102. GPS data can be used, for example, to analyze theactivities of the patient 100 and in some instances such activities maybe used to analyze the sensor data. For example, the GPS coordinate datamay indicate that a patient was walking or jogging. Such information canbe used to distinguish sensor data taken at rest versus otheractivities. Orientation and motion data produced by the orientationsensor 420 and motion sensor 418 can be used to more accurately assess a3D position of the patient 100, and a level of activity of the patient100 (e.g., lying down, running in place, sitting, etc.). By furtherrefining the activity of the patient 100 with 3D positioninginformation, the sensor management system 304 can more precisely analyzesensor data obtained from one or more biological sensors 102 coupled toa patient 100.

It should be understood that devices described in the exemplaryembodiments can be in communication with each other via various wirelessand/or wired methodologies. The methodologies can be links that aredescribed as coupled, connected and so forth, which can includeunidirectional and/or bidirectional communication over wireless pathsand/or wired paths that utilize one or more of various protocols ormethodologies, where the coupling and/or connection can be direct (e.g.,no intervening processing device) and/or indirect (e.g., an intermediaryprocessing device such as a router).

Now turning to FIG. 8A1, a block diagram illustrating an example,non-limiting embodiment of a method 800 for monitoring a plurality ofbiological states in accordance with various aspects of the subjectdisclosure is shown. Method 800 can be performed with one or moreindividual biological sensors 102 or one or more biological sensors 102integrated in a material that couples in whole or in part to a body partof a patient 100 as illustrated in FIGS. 8B-8E. For example, anembodiment of an arm sleeve 832 is depicted in FIG. 8B, an embodiment ofa leg sleeve 842 is depicted in FIG. 8C, and an embodiment of a sock 852is depicted in FIG. 8D. Some of the biological sensors 102 shown in thearm sleeve 832, the leg sleeve 842, and/or the sock 852 can be on theback side or other locations not visible in FIGS. 8B-8E. In someembodiments, multiple instances of the embodiments of FIGS. 8B-8E can beused in different body parts or segments of a patient 100 to performdifferential measurements. For example, multiple instances of a sock 852can be used as depicted in FIG. 8D. Similarly, multiple instances of thearm sleeve 832 and leg sleeve 842 can be used as depicted in FIG. 8E.

Each biological sensor 102 integrated in arm sleeve 832, leg sleeve 842and/or sock 852 can be powered from a local power supply 414 that isintegrated in the arm sleeve 832, leg sleeve 842 and/or sock 852. Thelocal power supply 414 can be as shown in FIG. 4 (utilizing batteries orsome other form of energy harvesting, e.g., kinetic energy, body heat,etc.). Alternatively, or in combination with a local power supply, eachbiological sensor 102 integrated in arm sleeve 832, leg sleeve 842and/or sock 852 can be powered from a tethered connection to a DC powerline not shown in FIGS. 8B-8E. The arm sleeve 832, the leg sleeve 842,and/or the sock 852 can be constructed of an elastic material such asnylon, cotton, wool, silk, or combinations thereof. In some embodiments,the arm sleeve 832, the leg sleeve 842, and/or the sock 852 can be splitin half resulting in two ends that can be attachable or detachable withVelcro® or other suitable materials which enable the arm sleeve 832, theleg sleeve 842, and/or the sock 852 to be wrapped around certain bodysegments. The arm sleeve 832, the leg sleeve 842, and/or the sock 852can also include an opening 834, which can be used by a clinician toextract blood samples, insert an IV catheter, perform measurements orotherwise gain access to the antecubital fossa. Openings can be placedin other locations of the arm sleeve 832, the leg sleeve 842, and/or thesock 852 for similar or different purposes.

In some embodiments, the arm sleeve 832, the leg sleeve 842, and/or thesock 852 can each have an integrated blood pressure measurement system836, 844, 846, 854 for performing blood pressure measurements. Thebiological sensors 102 located in different areas of the arm sleeve 832,the leg sleeve 842, and/or the sock 852 can be configured to make director indirect contact with the skin of the patient 100 to measuredifferent biological states of a patient 100 (e.g., blood pressure,temperature sensor, perspiration sensor, pulse rate sensor, glucoselevel sensor, SpO2 sensor, ECG/EKG, etc.) and/or to apply drug deliveryutilizing the drug delivery system 408 described earlier in relation toFIG. 4. The embedded blood pressure measurement systems 836, 844, 846,854 (and/or other biological sensors 102 integrated in the arm sleeve832, the leg sleeve 842, and/or the sock 852) can be coupled to adisplay 403 (e.g., LED display) that provides a visual reading of abiological measurement such as a blood pressure reading 838 (or otherreadings, e.g., temperature, pulse rate, etc.), which can bedistinguished from other measurements with an indicator 840 (e.g., “BP”in the upper right corner) as illustrated in FIG. 8B. The controller 406of the one or more biological sensor(s) 102 integrated in the arm sleeve832, the leg sleeve 842, and/or the sock 852 can be configured topresent different biological measurements (e.g., temperature, SpO2,etc.) by changing the indicator 840 on the upper right of the display403.

The one or more biological sensors 102 included in the arm sleeve 832,the leg sleeve 842, and/or the sock 852 can also be configured tocommunicate (via the transceiver 102—see FIG. 4) by a tethered orwireless interface with each other and/or other biological sensors 102not coupled or integrated in the arm sleeve 832, the leg sleeve 842,and/or the sock 852. These other biological sensors 102 can include, forexample, biological sensors 102 coupled to the chest and thighs of thepatient 100 as depicted in FIG. 8B. The patient 100 can be provided awristband 264 such as depicted in FIG. 2M, which can be equipped with aradio frequency identification (RFID) tag 825 (shown in FIG. 8A2) orother suitable communication device. The wristband 264 can includeinformation about the patient 100 (e.g., name, age, medical records,etc.), which the one or more biological sensors 102 included in the armsleeve 832, the leg sleeve 842, and/or the sock 852 can be configured towirelessly obtain from the wristband 264. Any information provided toanother device wirelessly by the RFID tag 825 of the wristband 264 canbe encrypted so that only authorized devices having a decryption key candecrypt the message provided by the RFID tag 825. In place of, or inaddition to the RFID tag 825, the wristband 264 can include a barcode821 and/or a QR code 823 (FIG. 8A2) on an exposed surface of thewristband 264 to identify the patient 100 and/or biological sensor 102assigned to the patient 100. In some embodiments, a barcode 821 and/or aQR code 823 on the wristband 264 can be compared to a barcode 821 and/ora QR code 823 on the biological sensor 102 to validate that the patient100 is using the proper biological sensor 102.

The one or more biological sensors 102 included in the arm sleeve 832,the leg sleeve 842, and/or the sock 852 can also be configured with anRFID tag 825 such as shown in FIG. 8A2. The RFID tag 825 can be adaptedto store and provide upon request a unique identifier of the biologicalsensor 102 such as a serial number, model number, or other form ofidentification which can be used to identify a sensor type of thebiological sensor 102. The RFID tag 825 can provide this information tothe computing device 202 or the sensor management system 304 over awireless interface. Additionally, the RFID tag 825 of the biologicalsensor 102 can be configured with patient data, which can also beprovided upon request to the computing device 202 or the sensormanagement system 304 over a wireless interface. Any informationprovided by the RFID tag 825 of the biological sensor 102 can beencrypted so that only authorized devices having a decryption key candecrypt the message provided by the RFID tag 825. In addition to, or inplace of an RFID tag 825, the biological sensor 102 can be configuredwith a barcode 821 or a QR code 823 (shown in FIG. 8A2) on an exposedsurface of any material housing the biological sensor 102.

A clinician or other personnel can utilize, for example, a scanner toidentify from the barcode 821 or QR code 823 a sensor type via a modelnumber, a serial number or other identifying information associated withthe biological sensor 102. In other embodiments, more than one barcodeand/or QR code may be placed on the material housing the biologicalsensor 102. A first barcode 821 or QR code 823 can be used to identifythe sensor type via a model number, a serial number or other identifyinginformation associated with the biological sensor 102, while a secondbarcode 821 or QR code 823 may be used to uniquely identify the patient.The computing device 202 or the sensor management system 304 can beconfigured to perform the functions of an inventory management systemthat assigns barcodes 821 and/or QR codes 823 to the biological sensors102 and to its corresponding users and thereby tracks usage of thebiological sensors 102 by its users.

With the foregoing embodiments in mind for FIGS. 8B-8E, method 800 canbegin at step 802 where a clinician 101 places a biological sensor 102on a patient 100 as shown in FIG. 2A, or inserts on a patient's limb (orwraps around a patient's limb with Velcro®, belt(s) or other implements)an arm sleeve 832, leg sleeve 842, and/or sock 852 having one or moreintegrated biological sensors 102 as depicted in FIGS. 8B-8E (somebiological sensors 102 may not be visible). Whether used individually orintegrated in an arm sleeve 832, leg sleeve 842, and/or sock 852, thebiological sensors 102 can be provisioned as described earlier by theflowchart of FIG. 6. Once provisioned, the biological sensors 102 can beconfigured to monitor a plurality of biological states (e.g.,temperature, perspiration, pulse rate, blood pressure, respiration rate,glucose levels in the blood, SpO2, ECG/EKG, etc.).

In one embodiment, individual biological sensors 102 and/or biologicalsensors 102 integrated in the arm sleeve 832, the leg sleeve 842, and/orthe sock 852 can be provided a plurality of algorithms at step 804 fordetecting a corresponding plurality of biological conditions (e.g.,abnormal blood pressure, abnormal glucose, heart attack, arrhythmia,abnormal EKG, etc.). The algorithms can be provided to the biologicalsensor(s) 102 by the computing device 202 or sensor management system304 over a wired or wireless interface. It is further noted that otherdata can be provided to the biological sensor(s) 102 by the computingdevice 202 or sensor management system 304 over a wired or wirelessinterface. For example, the biological sensors 102 can be provided withpatient identification information, a sensor type, and/or operationalinformation that indicates a proper use of the biological sensors 102.The operational information can represent, for example, targetpositioning information which may indicate an acceptable range ofpositioning and/or motion of a body part for performing a properbiological measurement at or in a vicinity of the body part. In otherembodiments, the biological sensor(s) 102 can be preconfigured with thealgorithms, patient identification information, a sensor type, and/oroperational information at a time when the biological sensor(s) 102 aremanufactured or prior to being used by a user. Accordingly, under suchcircumstances step 804 may not be necessary. As will be described below,the plurality of algorithms can be configured to perform biologicalmeasurements in accordance with the operational information and/orsensor type. The plurality of algorithms can also be configured toprocess sensor data generated by one or more different sensors of thebiological sensor(s) 102 for purposes of detecting one or morebiological conditions.

The individual biological sensors 102 and/or those integrated in the armsleeve 832, the leg sleeve 842, and/or the sock 852 can also beconfigured to generate positioning information for each of one or morebody parts (or segments) such as, for example, an arm, leg, back, hip,or other body part. At step 806, positioning information can begenerated from multiple biological sensors 102, each located at adifferent segment of a patient's body. For example, the arm sleeve 832may have one biological sensor 102 (measuring, for example, bloodpressure) located at a bicep and another biological sensor 102 locatedat the forearm of the patient 100 for performing a different measurement(e.g., pulse rate, temperature, etc.). The biological sensor 102 locatedat the bicep can provide positioning information relating to the bicep,while the biological sensor 102 located at the forearm can providepositioning information relating to the forearm.

Each biological sensor 102 can include a motion sensor 418 (see FIG. 4)which can sense motion in three-dimensional space and thereby providepositioning information in relation to a segment of a body part wherethe biological sensor 102 is located. The motion sensor 418 can includea gyroscope and an accelerometer which together can be used to generatepositioning information in three-dimensional space. In some embodiments,the biological sensors 102 may also include an orientation sensor 420(see FIG. 4) to generate orientation information (northwest, southwest,etc.) of a body segment. The orientation information can be part of thepositioning information.

The biological sensors 102 located at the bicep and forearm can beconfigured to share positioning information with each other wirelesslyor by a tethered interface. Similarly, biological sensors 102 can beplaced at different segments of the leg sleeve 842 or sock 852. From thecombined positioning information of the bicep and forearm one or bothbiological sensors 102 can determine that an arm of the patient 100 isat a rest position, in motion, is bent, is not bent, is not heldupwards, is held upwards, or has some other orientation or motion.Similar determinations can be made by biological sensors 102 of the legsleeve 842, and sock 852 by sharing position information betweenbiological sensors 102 integrated therein. The combined positioninginformation can be used by the biological sensors 102 to determine atstep 808, in accordance with target positioning information, whether theUM of the patient 100 is in a desirable position and/or range of motionto perform, for example, a blood pressure measurement and/or pulse ratemeasurement.

In some embodiments, the biological sensors 102 can be configured toobtain target positioning information from a local source. For example,the target positioning information can be stored in the memory of eachbiological sensor 102 and retrieved when needed. Alternatively, thebiological sensor 102 can obtain the sensor type from its memory, andsubmit a request (including the sensor type) over a wired or wirelessinterface to another device (e.g., another biological sensor within acommunication range of the biological sensor submitting the request, thecomputing device 202, the sensor management system 304, or other systemcommunicatively coupled to the biological sensor 102). The receivingdevice can identify the target positioning information appropriate forthe requesting biological sensor 102 based on the sensor type providedin the request. The sensor type can include a serial number of thebiological sensor 102, a model number of the biological sensor 102,descriptive information associated with the biological sensor 102, acombination thereof, or other identifying data that can be used by thereceiving device for identifying the target positioning information.Once identified, the receiving device can transmit the targetpositioning information to the requesting biological sensor 102 over awire or wireless interface.

As noted earlier, the target positioning information can provide a rangeof positioning and/or motion of a body part for performing a properbiological measurement. Clinicians or other personnel involved in themanufacture or distribution of biological sensors 102 can generate andassociate different target positioning information to each sensor typeor type of biological measurement performed by a biological sensor 102.The target positioning information can be stored in the biologicalsensor 102 or can be retrieved from another device based on the sensortype as described earlier.

At step 808, a biological sensor 102 can be configured to compare themeasured positioning information obtained at step 806 to the targetpositioning information to determine if a position of the body part iswithin a desired range provided in the target positioning information.For example, the target positioning information may indicate that tomeasure a particular type of biological measurement properly it ispreferable that the user have his or her arm extended or bent no morethan 25 degrees. If the measured positioning information is not withinthe prescribed range provided in the target positioning information,then the biological sensor can be configured to postpone initiating abiological measurement as described below in steps 810 and 811.

In other embodiments, the target positioning information may indicate adesired orientation of the body part. For example, a preferredorientation for an arm may be level (horizontal) as opposed to the armbeing positioned vertically. The prescribed range of orientationsprovided in the target positioning information may be 0 degrees (i.e.,level) and no more than 45 degrees in an upward direction. In yet otherembodiments, the target positioning information can prescribe a desiredrange of motion. For example, the target positioning information mayprescribe minimal motion (e.g., nearly at rest). In yet otherembodiments, the target positioning information may prescribe anycombination of a range of positions, a range of orientations, and/or arange of motion. If the measured positioning information for any ofthese combinations is not within the prescribed ranges provided in thetarget positioning information, then the biological sensor 102 can beconfigured to postpone initiating a biological measurement as describedbelow in steps 810 and 811.

The biological sensors 102 can also share biological states with eachother. For example, a biological sensor 102 that measures pulse rate canshare its measurements with a biological sensor 102 in the bloodpressure measurement system 836 to determine if the patient 100 is in adesirable biological state to perform a blood pressure measurement. Forexample, suppose the biological sensor 102 performing the pulse ratemeasurement has in its memory banks the normal pulse rate of the patient100, which is 100 beats per minute (as shown in FIG. 7D). Furthersuppose that the pulse rate presently measured is 120 beats per minute.The pulse rate information provided to the biological sensor 102 thatmeasures blood pressure by the biological sensor 102 performing thepulse rate measurement can further identify that the pulse rate is 20beats above the normal pulse rate threshold of the patient 100.Alternatively, the biological sensor 102 that measures blood pressurecan wirelessly obtain the normal pulse rate threshold of the patient 100from information stored in the wristband 264, and thereby determine thatthe pulse rate of the patient 100 is 20 beats above normal.

Accordingly, if the arm, leg, or foot is not at rest, pointing upwards,bent, or in an otherwise undesirable position inconsistent with therange(s) provided in the target positioning information, and/or arelated biological state of the patient 100 is undesirable (e.g., pulserate above normative threshold), then the biological sensor 102 thatperforms blood pressure measurements can be configured at step 808 topostpone the measurement until the patient 100 stabilizes, the body partof the patient 100 that will undergo a biological measurement is withina range of positions and/or motion in accordance with the specificationsprovided in the target position information, and/or the relatedbiological state is desirable. When a measurement is postponed, thebiological sensor 102 can be configured to initiate a timer at step 810to determine the duration of postponement. The biological sensor 102 canbe configured with a timeout period (e.g., 3 mins, 5 mins, 15 mins, 30mins, 1 hr, 2 hrs, etc.), which can be provided by the computing device202 of the clinician 101 or the sensor management system 304.

The timeout period can be chosen according to the biological state thatneeds to be measured. For example, it may be desirable that a bloodpressure reading not be postponed more than 1 hour based on a medicalhistory of the patient, which can be obtained from records of thepatient stored in the wristband 264, or provided by the computing device202, workstation 266 or sensor management system 304. If the patient 100does not have his/her arm, leg, or foot at rest and in desirableorientation and/or one or more related biological states are notdesirable for more than an hour, then the timer of the biological sensor102 can trigger at step 810 and generate a message at step 811descriptive of a positioning and/or biological state issue. The messagecan be presented at the display 403 of the biological sensor 102 asdepicted in FIGS. 2L and 8B-8E. The message presented can be an errorcode, text message descriptive of the issue, or some other form of adisplayable indicator. Alternatively, or in combination, the biologicalsensor 102 can be configured to transmit the message over a tethered orwireless interface to the computing device 202, workstation 266, orsensor management system 304.

It will be appreciated that the sharing of positioning information andbiological states between biological sensors 102 can be performed forany combination of biological sensors 102. Sharing positioninginformation and biological states can be used by each biological sensor102 to determine when measuring a biological state will provide accurateor inaccurate measurements. Such a determination can be useful forreducing false-positive detection of adverse biological conditions.

Referring back to step 810, when the position of the patient 100 and/orrelated biological state(s) will not result in an inaccurate measurementof another biological state, the biological sensor 102 can be configuredat step 812 to begin monitoring the biological state (e.g., temperature,blood pressure, SpO2, etc.) of the patient 100 for detection at step 814of a biological condition that can result in a biological abnormality(e.g., fever, hypertension, hypoxemia, etc.). Steps 812-814 can beinitiated by the biological sensor 102 responsive to the computingdevice 202 or the sensor management system 304 providing instructions tothe biological sensor 102 responsive to receiving information (e.g.,positioning information and/or related biological states) from one ormore biological sensors 102 coupled to the patient 100 that enable thecomputing device 202 or the sensor management system 304 to determinethat the patient 100 is in a desirable state of rest, position, motionin accordance with the target positioning information, and/or relatedbiological state(s). Alternatively, the biological sensor 102 can beconfigured to initiate steps 812-814 once the biological sensor 102 hasmade its own determination from information provided by other biologicalsensors 102 (e.g., positioning information and/or related biologicalstates) that the patient 100 is in a desirable state of rest, position,motion in accordance with the target positioning information, and/orrelated biological state(s).

Once the biological sensor 102 begins to process sensor data at step 812responsive to detecting a favorable position and/or favorable relatedbiological state(s), an adverse biological condition can be detected atstep 814 according to one or more thresholds or signal profilesprogrammed into the biological sensor 102, which enable detection of abiological abnormality such as, for example, an abnormal temperature ofthe patient 100, an abnormal heart rate of the patient 100, an abnormalblood pressure of the patient 100, an abnormal SpO2 reading of thepatient 100, an abnormal glucose level of the patient 100, an abnormalECG/EKG reading, and so on. Provisioning a biological sensor 102 withthresholds and/or signal profiles which may be specific to a patient 100was described earlier in relation to FIGS. 6 and 7A-7D.

If an adverse biological condition is detected at step 814, thebiological sensor 102 can be configured at step 816 to present thepatient 100 and/or clinician 101 with one or more mitigation steps toaddress the biological condition. The mitigation steps presented can beprocedures and/or treatments which can be displayed at the biologicalsensor 102, on a wristband 264, on a display device 265 affixed to awall or other fixture, at the computing device 202, or at a workstation266 as previously described according to the illustrations of FIGS.2L-2P. If at step 818 a determination is made that the biologicalcondition can potentially give rise to another biological condition, thebiological sensor 102 can be configured at step 820 to monitor anotherbiological condition. The determination that another biologicalcondition can result from the occurrence of the first biologicalcondition can be made by an algorithm executed by the biological sensor102, an algorithm executed by the computing device 202, an algorithmexecuted by the sensor management system 304, combinations thereof, oraccording to input provided by the clinician 101 via the computingdevice 202, the sensor management system 304, or the workstation 266.

Algorithms can be used to predict a potential occurrence of a subsequentbiological condition based on a protocol defined by health professionalsor institutions, and/or a medical history of the patient 100. Forexample, protocols may exist for predicting side effects from an onsetof a fever, a heart attack, a glucose imbalance, hypertension, and soon. Such protocols can be adapted to a patient's medical history. Forexample, a patient 100 may have a medical history showing a recurringpattern such that when the patient 100 experiences one biologicalcondition an alternate biological condition has a tendency to occur. Aclinician or system can adapt standard protocols in whole or in partaccording to the medical history of the patient 100.

In other embodiments, a clinician 101 can input a request to monitor anew biological condition in response to a first biological condition.The clinician 101 can enter this request by way of a user interface ofthe computing device 202, the sensor management system 304, or theworkstation 266. Any of the foregoing devices used by the clinician 101can be configured to instruct the biological sensor 102 at step 820 toprocess sensor data of a different biological state to monitor for apotential occurrence of a similar or different biological condition atstep 822.

It will be appreciated that the biological sensor 102 can be configuredto transition from monitoring one biological condition to another in anyorder. The sequence or order of biological conditions monitored may bedefined by standard or customized protocol(s) referred to earlier. Anyof these protocols can be executed in whole or in part by the biologicalsensor 102, the computing device 202, the sensor management system 304,or any combinations thereof. Each protocol can define an order ofprocessing biological states (e.g., temperature→blood pressure→EKG) andcorresponding biological conditions (e.g., fever→high or low bloodpressure→heart conditions).

Although the flowchart of FIG. 8A1 shows the biological sensor 102 beingconfigured to monitor one biological condition after another, suchillustrations are non-limiting. For example, method 800 can be adaptedto configure the biological sensor 102 to simultaneously monitorcombinations of biological states (e.g., temperature and blood pressure)and corresponding biological conditions (e.g., fever and abnormal bloodpressure). Method 800 can be further adapted to detect one or moreabnormalities and direct the biological sensor 102 to monitor othercombinations of biological states and corresponding biologicalconditions. Method 800 can also be adapted to continue monitoring one ormore biological states and one or more biological conditions previouslydetected while contemporaneously monitoring one or more new biologicalstates and corresponding one or more biological conditions.

In other embodiments, method 800 can be adapted to track and managecombinations of biological sensors 102 and configure each biologicalsensor 102 to monitor one or more biological states and correspondingbiological conditions. In this embodiment, method 800 can be adapted todetect one or more abnormalities from combinations of biological sensors102 and direct one or more of the biological sensors 102 to monitor oneor more other biological states and corresponding one or more otherbiological conditions. In one embodiment, the coordination and controlof multiple biological sensors 102 can be performed by the computingdevice 202, the sensor management system 304, or the workstation 266. Inanother embodiment, multiple biological sensors 102 can be configured toform a wireless network amongst themselves and coordinate monitoring anddetection of one or more biological conditions according to a protocol.In this configuration, the coordination can be based on a master-slavearrangement (i.e., a master biological sensor coordinating slavebiological sensors), or in another arrangement, the multiple biologicalsensors 102 can form a mesh network where coordination is performed by acooperative exchange of messages and sensor data between the biologicalsensors 102 to execute one or more protocols.

It will be further appreciated that method 800 can be adapted to assertone or more timers as previously described in the illustration of FIG.2Q when one or more biological conditions are detected. Additionally,one or more timers can be asserted while monitoring one or more newbiological states and corresponding biological conditions. The timerscan be presented as previously illustrated in FIGS. 2L-2P.

Referring back to step 822, when a subsequent biological condition isdetected, a presentation of mitigation steps can be provided to thepatient 100 and/or clinician 101 as previously described. If, however, asubsequent biological condition is not detected at step 822, and aprevious biological condition is determined to no longer be present atstep 824, then the biological sensor 102 can be configured to restartthe monitoring process from step 806 as previously described. Thetransition from step 824 to step 806 can occur in instances, forexample, when the mitigation steps of step 816 achieve a goal oferadicating the biological condition previously detected at step 814.

It will be appreciated that the illustrations provided in the flowchartof method 800 are non-limiting. For example, method 800 can be adaptedso that when a first biological abnormality is detected at step 814according to a first monitored biological state, a second biologicalstate monitored at step 820 may have similarities to the firstbiological state. For example, the first biological state monitored atstep 812 may be a temperature of the patient 100. At step 820, thesecond biological state may be a temperature measurement performed attwo or more other body locations by way of multiple biological sensors102 or one biological sensor 102 having access to each location. In yetanother embodiment the second biological state monitored at step 820 maydiffer from the first biological state monitored at step 812 only by thefrequency of measurements. For example, when an onset of a fever isdetected based on an hourly measurement at step 812, monitoring atemperature of the patient 100 may be increased at step 820 to a higherfrequency (e.g., once every 15 mins or less). Although the biologicalstate is monitored more frequently at step 820, the biological state(e.g., temperature) being monitored is still the same.

Method 800 can also be adapted so that the type of second biologicalstate monitored at step 820 can be determined by user-input rather thanan automated algorithm obtained by the biological sensor 102. Forexample, a clinician 101 can provide user input at a user interface ofthe computing device 202 (or the workstation 266 or the sensormanagement system 304). The user input can result in instructions beingdirected to the biological sensor 102 to monitor a particular biologicalstate and corresponding a biological abnormality. The instructionsprovided by the clinician 101 via the computing device 202 (or theworkstation 266 or the sensor management system 304) can also identify aprotocol to be followed during the monitoring process. The user inputmay also come from the patient 100 via a user interface (e.g., button ortouch-screen) of the biological sensor 102 or a device communicativelycoupled to the biological sensor 102 (e.g., a mobile phone).

Method 800 can also be adapted to present a state of the biologicalsensor 102 at a user interface of the biological sensor 102, a userinterface of the computing device 202, a user interface of theworkstation 266, or a user interface of the sensor management system304. The state of the biological sensor 102 can include withoutlimitation an indication of any biological conditions that may have beendetected, an identification of the protocol or instructions provided tothe patient 100 and/or clinician, timer(s) associated with one or moredetected adverse biological conditions, and so on.

Method 800 can also be further adapted to cause biological sensors 102to share biological states measured with each other or with thecomputing device 202, workstation 266, or the sensor management system304. The biological states measured can be the same (e.g., temperature,blood pressure, etc.), but at different locations of the patient's bodywhere the biological sensors 102 are located. Differential measurementscan be used to detect abnormalities in one part of the patient's bodythat may not be present at another location. Accordingly, adversebiological conditions may be more readily detected by way ofdifferential measurements. Similarly, disparate biological statesmeasured by different biological sensors 102 (e.g., pulse rate vs. bloodpressure, temperature vs. perspiration) can be shared between biologicalsensors 102 or with the computing device 202, workstation 266, or thesensor management system 304. Such disparate readings can be helpful toa biological sensor 102 to determine when it may or may not be desirableto perform a biological measurement of a specific type. Differentialmeasurements of disparate biological states may also be helpful indetecting one or more adverse biological conditions.

Additionally, method 800 can be adapted to cause biological sensors 102to perform biological measurements in a transient manner. For example, ablood pressure measurement system carried by a clinician 101 can beconfigured with one or more wireless transmitters or transceivers thatcan generate a signal that causes biological sensors 102 coupled to thepatient 100 to be triggered to perform a reading and provide suchinformation to the blood pressure measurement system or computing device202, workstation 266 or sensor management system 304. The triggering canbe performed by RF energy received by the biological sensor 102 andharvested to provide the biological sensor 102 sufficient energy toperform a measurement and provide the sensing data to the measurementsystem or computing device 202, workstation 266 or sensor managementsystem 304 over a wireless transmission medium.

Method 800 can also be adapted with a procedure to determine if thepatient 100 has been assigned to a proper biological sensor 102 and/orto avoid mistakenly obtaining measurements from a biological sensor 102of an unintended patient. To effectuate a validation process, thebiological sensor 102 can, for example, obtain an identification of thepatient from a wristband configured with an RFID tag in a vicinity ofthe communication range of the biological sensor 102. The biologicalsensor 102 can in turn provide the patient identification to a computingdevice 202 of the clinician. Alternatively, a clinician can obtain withthe computing device 202 identification information of the patient 100from an RFID tag of the wristband attached to the patient, a barcode orQR code on the biological sensor 102, or a barcode or QR code on thewristband. Identification information (e.g., model number, serial numberor other unique identification) can also be retrieved from thebiological sensor 102 via the computing device 202. The patient ID andthe ID of the biological sensor 102 can then be provided to an inventorymanagement system to verify that the patient ID is assigned to the ID ofthe biological sensor 102. If there's a mismatch the clinician canremove or otherwise disable the biological sensor 102.

The aforementioned validation process can be used to prevent human errorsuch as placement of an improper biological sensor 102 on a patient 100.The validation process can also be used by a clinician to preventobtaining measurements or interrogating a biological sensor 102 attachedto unintended patient in a multi-patient setting such as an ER or sharedoccupancy hospital room. The identification information of the patient100, identification information of the biological sensor 102, and/orbiological measurements of the patient 100 when provided digitally overa wireless interface can be encrypted so that unauthorized devices suchas a smartphone or other communication device is unable to obtainpatient information. Authorized devices can be configured with adecryption key to process encrypted data provided by the biologicalsensors 102, thereby limiting access to patient information obtainedfrom biological sensors 102.

It will be appreciated that the term patient 100 can also refer to auser of a biological sensor 102 that may not be under the supervision ofa clinician. Accordingly, the embodiments of the subject disclosure areapplicable to any user whether or not supervised by a clinician.

It will be appreciated that any of the embodiments of the subjectdisclosure, singly or in combination, can be adapted for use in anon-clinical setting, where individuals monitor their own biologicalstates and mitigate adverse biological conditions accordingly.Additionally, the computing device 202, workstation 266 and/or sensormanagement system 304 can be replaced with a computer, mobilecommunication device (e.g., smartphone, tablet or otherwise) of a userto perform in whole or in part the methods described in the subjectiondisclosure.

While for purposes of simplicity of explanation, the respectiveprocesses are shown and described as a series of blocks in FIG. 8A1, itis to be understood and appreciated that the claimed subject matter isnot limited by the order of the blocks, as some blocks may occur indifferent orders and/or concurrently with other blocks from what isdepicted and described herein. Moreover, not all illustrated blocks maybe required to implement the methods described herein.

Turning now to FIG. 8F, a block diagram illustrating an example,non-limiting embodiment of a method 860 for determining an adversebiological condition from comparative analysis of sensor data inaccordance with various aspects of the subject disclosure is shown.Method 830 can begin with steps 832 and 834 where first and secondbiological sensors 102 are placed on different body parts of anindividual as illustrated in FIG. 8G. The first and second biologicalsensors 102 can be placed, for example, on an individual's core (torso)and an extremity (e.g., a limb). In some embodiments, the first andsecond biological sensors 102 can be placed directly on the individual'sbody parts with an adhesive. In other embodiments, the first and secondbiological sensors 102 can be integrated in a sleeve or a sock asdepicted in FIGS. 8B-8E, an article of clothing, a bracelet, awristband, a watch, or other wearable articles, which can providesufficient contact with the individual's body parts to perform anadequate biological measurement by way of a biological sensor 102 asdescribed in the subject disclosure. It will be appreciated that forillustration purposes method 860 will be described in relation to twobiological sensors 102. In other embodiments, method 860 can be adaptedfor use with more than two biological sensors 102. It will be furtherappreciated that method 860 can be performed in a clinical setting, inan outpatient setting, or in settings where an individual who isutilizing the biological sensors 102 performs self-monitoring withoutsupervision by a clinician.

Once the first and second biological sensors 102 have been positioned,for example, on the individual's core and an extremity at steps 862 and864, the first and second biological sensors 102 can be configured toinitiate the monitoring process at step 866. In one embodiment, themonitoring process can be initiated at step 866 by a computing device ofa clinician (see FIG. 2O), a workstation of the clinician (see FIG. 2P),or a smartphone of the individual, any one of which transmits a wirelesssignal to the first and second biological sensors 102 to initiate sensormeasurements. In other embodiments, the first and second biologicalsensors 102 can be communicatively coupled to the sensor managementsystem 304 of FIG. 3A by way of the computing device, workstation,smartphone of the individual, or an internet service accessible to thefirst and second biological sensors 102 by way of an access point (e.g.,WiFi access point, or cellular base station). In any one of theseconfigurations the sensor management system 304 can transmit messages tothe first and second biological sensors 102 to initiate the monitoringprocess and control the operations of the first and second biologicalsensors 102.

It certain embodiments method 860 can be performed by a cooperativeexchange of messages transmitted between the first and second biologicalsensors 102. The messages can include sensor data, timing information,statistics and/or other information that can be utilized by thebiological sensors 102 to detect an adverse biological condition. Inother embodiments, the sensor data collected by the first and secondbiological sensors 102 can be transmitted wirelessly by the first andsecond biological sensors 102 to the computing device of the clinician,the workstation of the clinician, the smartphone of the individual, orthe sensor management system 304.

With the foregoing embodiments in mind, method 860 can proceed to step868 where a determination can be made whether the sensor data obtainedfrom the first and second biological sensors 102 is sufficiently stableto begin monitoring measurements of the individual. FIGS. 8H-8I, forexample, depict non-limiting embodiments of comparative sensor dataplots. FIG. 8H, for example, depicts plots for monitoring theindividual's core temperature and extremity temperature by way of thefirst and second biological sensors 102. When the first and secondbiological sensors 102 are enabled, the temperature measurements maytake time to stabilize. The time and temperature level to enter astability region shown in FIG. 8H can differ from individual toindividual. Accordingly, the time and temperature level to enter astability region for a core temperature 882 or extremity temperature 884can be determined on an individual basis utilizing historical sensordata, medical records or other techniques discussed in the subjectdisclosure in relation to FIGS. 7A-7D.

The plot of FIG. 8H can be utilized, for example, to detect a possibleonset of a fever. This can be accomplished by obtaining sensor data fromthe first and second biological sensors 102 and comparing in step 870measurements associated with the obtained sensor data. In oneembodiment, the comparative analysis performed at step 870 can be basedon a differential measurement of the individual's core temperature 882and the temperature at an extremity of the individual 884. Generally,the individual's core temperature 882 will be higher than the extremitytemperature 884 due to a dissipation in heat as blood flows to theextremities from the core. The difference between the core temperature882 and the extremity temperature 884 for a particular individual can bedetermined from historical measurements, medical records, or othertechniques described in the subject disclosure in relation to FIGS.7A-7D.

The differential measurement can identify how much separation there isbetween the core temperature 882 and extremity temperature 884 at aparticular point in time. If, for example, at step 872 the separationbetween the core temperature 882 and extremity temperature 884 exceeds athreshold as shown in FIG. 8H, a determination can be made at step 874whether the separation is indicative of an onset of fever or afalse-positive resulting from a temporary anomalous event. To avoid afalse-positive, other sensor data can be measured. For example, motionsensors (e.g., accelerometers) can be placed on the individual's coreand extremity to detect a tremor. At step 872, sensor data from themotion sensors can be obtained to determine the presence of a tremor,which can validate or identify a severity of a fever. If, however, atremor is not detected, it may be because the fever has not persistedlong enough to cause body contractions leading to tremors.

A temporary rise in temperature can occur if the user is engaged in anexercise activity. Such an activity can be detected by measuring theindividual's rate of respiration, pulse rate, perspiration, and so on.The first and second biological sensors 102 can be equipped withmultiple sensors which can perform these other measurements.Alternatively, other biological sensors 102 may be placed on body partsof the individual to perform these measurements. If additional sensordata indicates that the respiration, pulse rate, and/or perspiration ofthe individual are within normal thresholds of the individual, then thedetected onset of a fever can be validated.

Otherwise, if the respiration, pulse rate, and/or perspiration is abovenormal and common to an exercise activity, then the detected onset offever can be ignored at step 877. In other embodiments, profiles orplots of the core temperature 882 and extremity temperature 884 can bemeasured under conditions when the individual is at rest and when theindividual is engaged in exercise. An at rest profile and an exerciseprofile can be determined from historical sensor data, medical recordsor other techniques discussed in the subject disclosure in relation toFIGS. 7A-7D. Accordingly, at step 876 the measured core 882 and 884temperatures can be compared to an exercise profile to detect thepresence of vigorous activity that can lead to a false-positive. When afalse-positive is detected by use of an exercise profile or individualmeasurements (e.g., respiration rate, perspiration rate, etc.), themonitoring process can be reinitiated at steps 866-872 once it isdetermined from the respiration rate, pulse rate, perspiration rateand/or a decline in core temperature 882 and extremity temperature 884of the individual have declined to match an at rest profile.

If, on the other hand, an onset of fever is detected at step 877, analert message can be transmitted at step 878 to a clinician and/or theindividual's communication device (e.g., smartphone) to provide eitheror both parties an early indication that the individual may beexperiencing a fever. This early warning provides the clinician and/orthe individual an opportunity to mitigate the fever promptly. After anearly warning is submitted to the clinician and/or individual, sensordata can be periodically obtained from motion sensors and the first andsecond biological sensors 102 to determine whether an increase in theseverity of the fever has occurred based on detected tremors and/or anincrease in separation between the core temperature 882 and extremitytemperature 884. Additionally, if the first and/or the second biologicalsensor 102 includes a drug delivery system 408, a dosage of medication(e.g., aspirin) can be applied automatically by the first and/or thesecond biological sensor 102 or under control and management of theclinician and/or individual by way of the computing device, workstation,sensor management system or smartphone communicatively coupled to thefirst and/or second biological sensor 102. The effect of the dosage canbe monitored and reported by the first and/or second biological sensor102 to determine if the dosage is effective.

FIG. 8I depicts non-limiting embodiments of plots for measuring amagnitude in pulse rate at a core 886 and extremity 888 of theindividual. Method 860 can be applied to the plot of FIG. 8I to detect adegradation in blood flow. Although the pulse rate of the individualdoes not change across multiple body parts, the magnitude of the pulserate measured can differ the further a biological sensor is placed fromanother biological sensor at the core. Similar to a temperaturedifference between the core and the extremity, a difference can beexpected in the magnitude of the pulse rate at the core 886 and theextremity 888 of the individual. Such a difference can be determinedfrom historical sensor data, medical records or other techniquesdiscussed in the subject disclosure in relation to FIGS. 7A-7D. If theseparation between the magnitude of the core pulse rate 886 and themagnitude of the extremity pulse rate 888 increases beyond a certainthreshold a reduction in blood flow may be detected in accordance withsteps 866-874 as previously described.

To validate a reduction in blood flow other measurements can beperformed and analyzed at steps 876-877 to verify the suspected adversebiological condition. For example, sensor data can be obtained fromorientation sensors used by the first and second biological sensors 102.If, for example, the individual has lifted the extremity upwards wherethe second biological sensor 102 is located, this orientation may causea reduction in blood flow to the extremity. Under such circumstances,the reduction in blood flow may be ignored and the monitoring processmay be reinitiated at step 866 when the orientation returns to a normalstate as previously described.

In other embodiments, multiple biological measurements may be performedsimultaneously as depicted in the plots of FIG. 8J. In this embodiment,temperature and pulse rate magnitudes can be measured together. If adrop in pulse rate magnitude of the extremity 888 occurs resulting in areduction in blood flow, it may follow that a reduction in temperature886 occurs as well. This correlation can be a first indication that areduction in blood flow is valid. Steps 876-877 can be invoked to raisea level of confidence by utilizing other sensors such a motion sensors,orientation sensors, perspiration sensors and so on. As moremeasurements are performed simultaneously (e.g., temperature, pulserate, respiration, and so on), the need to perform steps 876-877 isreduced and in some instances may be eliminated.

Based on the foregoing illustrations, it will be appreciated that thesteps of method 860 can be performed in whole or in part by the firstand second biological sensors 102, or more than two biological sensors102, through a cooperate exchange of messages transmitted wirelessly orby tethered interfaces between the biological sensors 102. In thisconfiguration, the biological sensors 102 can be configured in amaster-slave configuration or mesh network for performing the steps ofmethod 860. In other embodiments the first and second biological sensors102 (or more than two biological sensors) can be communicatively coupledto a computing device of a clinician, a workstation of the clinician, asensor management system 304, or a smartphone device of the individual.In these embodiments, the steps of method 860 can be performed in wholeor in part by the first and second biological sensors 102 (or more thantwo biological sensors) through a cooperative exchange of messages,and/or by providing sensor data to the computing device of theclinician, the workstation of the clinician, the sensor managementsystem 304, the smartphone device of the individual, or any combinationsthereof.

It will also be appreciated that the plots of FIGS. 8H-8J areillustrative and may differ from actual biological measurement plots ofindividuals. It will be further appreciated that method 860 can beadapted for detecting any adverse biological condition that isdetectable from comparative biological measurements. It is further notedthat any of the embodiments of the subject disclosure can be applied toany biological organism (e.g., animals) not just humans.

While for purposes of simplicity of explanation, the respectiveprocesses are shown and described as a series of blocks in FIG. 8F, itis to be understood and appreciated that the claimed subject matter isnot limited by the order of the blocks, as some blocks may occur indifferent orders and/or concurrently with other blocks from what isdepicted and described herein. Moreover, not all illustrated blocks maybe required to implement the methods described herein.

FIG. 9 depicts an exemplary diagrammatic representation of a machine inthe form of a computer system 900 within which a set of instructions,when executed, may cause the machine to perform any one or more of themethods described above. One or more instances of the machine canoperate, for example, as the devices depicted in the drawings of thesubject disclosure. In some embodiments, the machine may be connected(e.g., using a network 926) to other machines. In a networkeddeployment, the machine may operate in the capacity of a server or aclient user machine in a server-client user network environment, or as apeer machine in a peer-to-peer (or distributed) network environment.

The machine may comprise a server computer, a client user computer, apersonal computer (PC), a tablet, a smart phone, a laptop computer, adesktop computer, a control system, a network router, switch or bridge,or any machine capable of executing a set of instructions (sequential orotherwise) that specify actions to be taken by that machine. It will beunderstood that a communication device of the subject disclosureincludes broadly any electronic device that provides voice, video ordata communication. Further, while a single machine is illustrated, theterm “machine” shall also be taken to include any collection of machinesthat individually or jointly execute a set (or multiple sets) ofinstructions to perform any one or more of the methods discussed herein.

The computer system 900 may include a processor (or controller) 902(e.g., a central processing unit (CPU)), a graphics processing unit(GPU, or both), a main memory 904 and a static memory 906, whichcommunicate with each other via a bus 908. The computer system 900 mayfurther include a display unit 910 (e.g., a liquid crystal display(LCD), a flat panel, or a solid state display). The computer system 900may include an input device 912 (e.g., a keyboard), a cursor controldevice 914 (e.g., a mouse), a disk drive unit 916, a signal generationdevice 918 (e.g., a speaker or remote control) and a network interfacedevice 920. In distributed environments, the embodiments described inthe subject disclosure can be adapted to utilize multiple display units910 controlled by two or more computer systems 900. In thisconfiguration, presentations described by the subject disclosure may inpart be shown in a first of the display units 910, while the remainingportion is presented in a second of the display units 910.

The disk drive unit 916 may include a tangible computer-readable storagemedium 922 on which is stored one or more sets of instructions (e.g.,software 924) embodying any one or more of the methods or functionsdescribed herein, including those methods illustrated above. Theinstructions 924 may also reside, completely or at least partially,within the main memory 904, the static memory 906, and/or within theprocessor 902 during execution thereof by the computer system 900. Themain memory 904 and the processor 902 also may constitute tangiblecomputer-readable storage media.

Dedicated hardware implementations including, but not limited to,application specific integrated circuits, programmable logic arrays andother hardware devices can likewise be constructed to implement themethods described herein. Application specific integrated circuits andprogrammable logic array can use downloadable instructions for executingstate machines and/or circuit configurations to implement embodiments ofthe subject disclosure. Applications that may include the apparatus andsystems of various embodiments broadly include a variety of electronicand computer systems. Some embodiments implement functions in two ormore specific interconnected hardware modules or devices with relatedcontrol and data signals communicated between and through the modules,or as portions of an application-specific integrated circuit. Thus, theexample system is applicable to software, firmware, and hardwareimplementations.

In accordance with various embodiments of the subject disclosure, theoperations or methods described herein are intended for operation assoftware programs or instructions running on or executed by a computerprocessor or other computing device, and which may include other formsof instructions manifested as a state machine implemented with logiccomponents in an application specific integrated circuit or fieldprogrammable gate array. Furthermore, software implementations (e.g.,software programs, instructions, etc.) including, but not limited to,distributed processing or component/object distributed processing,parallel processing, or virtual machine processing can also beconstructed to implement the methods described herein. It is furthernoted that a computing device such as a processor, a controller, a statemachine or other suitable device for executing instructions to performoperations or methods may perform such operations directly or indirectlyby way of one or more intermediate devices directed by the computingdevice.

While the tangible computer-readable storage medium 922 is shown in anexample embodiment to be a single medium, the term “tangiblecomputer-readable storage medium” should be taken to include a singlemedium or multiple media (e.g., a centralized or distributed database,and/or associated caches and servers) that store the one or more sets ofinstructions. The term “tangible computer-readable storage medium” shallalso be taken to include any non-transitory medium that is capable ofstoring or encoding a set of instructions for execution by the machineand that cause the machine to perform any one or more of the methods ofthe subject disclosure. The term “non-transitory” as in a non-transitorycomputer-readable storage includes without limitation memories, drives,devices and anything tangible but not a signal per se.

The term “tangible computer-readable storage medium” shall accordinglybe taken to include, but not be limited to: solid-state memories such asa memory card or other package that houses one or more read-only(non-volatile) memories, random access memories, or other re-writable(volatile) memories, a magneto-optical or optical medium such as a diskor tape, or other tangible media which can be used to store information.Accordingly, the disclosure is considered to include any one or more ofa tangible computer-readable storage medium, as listed herein andincluding art-recognized equivalents and successor media, in which thesoftware implementations herein are stored.

Although the present specification describes components and functionsimplemented in the embodiments with reference to particular standardsand protocols, the disclosure is not limited to such standards andprotocols. Each of the standards for Internet and other packet switchednetwork transmission (e.g., TCP/IP, UDP/IP, HTML, HTTP) representexamples of the state of the art. Such standards are from time-to-timesuperseded by faster or more efficient equivalents having essentiallythe same functions. Wireless standards for device detection (e.g.,RFID), short-range communications (e.g., Bluetooth®, WiFi, Zigbee®), andlong-range communications (e.g., WiMAX, GSM, CDMA, LTE) can be used bycomputer system 900.

The illustrations of embodiments described herein are intended toprovide a general understanding of the structure of various embodiments,and they are not intended to serve as a complete description of all theelements and features of apparatus and systems that might make use ofthe structures described herein. Many other embodiments will be apparentto those of skill in the art upon reviewing the above description. Theexemplary embodiments can include combinations of features and/or stepsfrom multiple embodiments. Other embodiments may be utilized and derivedtherefrom, such that structural and logical substitutions and changesmay be made without departing from the scope of this disclosure. Figuresare also merely representational and may not be drawn to scale. Certainproportions thereof may be exaggerated, while others may be minimized.Accordingly, the specification and drawings are to be regarded in anillustrative rather than a restrictive sense.

Although specific embodiments have been illustrated and describedherein, it should be appreciated that any arrangement which achieves thesame or similar purpose may be substituted for the embodiments describedor shown by the subject disclosure. The subject disclosure is intendedto cover any and all adaptations or variations of various embodiments.Combinations of the above embodiments, and other embodiments notspecifically described herein, can be used in the subject disclosure.For instance, one or more features from one or more embodiments can becombined with one or more features of one or more other embodiments. Inone or more embodiments, features that are positively recited can alsobe negatively recited and excluded from the embodiment with or withoutreplacement by another structural and/or functional feature. The stepsor functions described with respect to the embodiments of the subjectdisclosure can be performed in any order. The steps or functionsdescribed with respect to the embodiments of the subject disclosure canbe performed alone or in combination with other steps or functions ofthe subject disclosure, as well as from other embodiments or from othersteps that have not been described in the subject disclosure. Further,more than or less than all of the features described with respect to anembodiment can also be utilized.

Less than all of the steps or functions described with respect to theexemplary processes or methods can also be performed in one or more ofthe exemplary embodiments. Further, the use of numerical terms todescribe a device, component, step or function, such as first, second,third, and so forth, is not intended to describe an order or functionunless expressly stated so. The use of the terms first, second, thirdand so forth, is generally to distinguish between devices, components,steps or functions unless expressly stated otherwise. Additionally, oneor more devices or components described with respect to the exemplaryembodiments can facilitate one or more functions, where the facilitating(e.g., facilitating access or facilitating establishing a connection)can include less than every step needed to perform the function or caninclude all of the steps needed to perform the function.

In one or more embodiments, a processor (which can include a controlleror circuit) has been described that performs various functions. Itshould be understood that the processor can be multiple processors,which can include distributed processors or parallel processors in asingle machine or multiple machines. The processor can be used insupporting a virtual processing environment. The virtual processingenvironment may support one or more virtual machines representingcomputers, servers, or other computing devices. In such virtualmachines, components such as microprocessors and storage devices may bevirtualized or logically represented. The processor can include a statemachine, application specific integrated circuit, and/or programmablegate array including a Field PGA. In one or more embodiments, when aprocessor executes instructions to perform “operations”, this caninclude the processor performing the operations directly and/orfacilitating, directing, or cooperating with another device or componentto perform the operations.

The Abstract of the Disclosure is provided with the understanding thatit will not be used to interpret or limit the scope or meaning of theclaims. In addition, in the foregoing Detailed Description, it can beseen that various features are grouped together in a single embodimentfor the purpose of streamlining the disclosure. This method ofdisclosure is not to be interpreted as reflecting an intention that theclaimed embodiments require more features than are expressly recited ineach claim. Rather, as the following claims reflect, inventive subjectmatter lies in less than all features of a single disclosed embodiment.Thus the following claims are hereby incorporated into the DetailedDescription, with each claim standing on its own as a separately claimedsubject matter.

What is claimed is:
 1. A machine-readable storage medium, comprisingexecutable instructions that, when executed by a processor, facilitateperformance of operations, comprising: receiving, from a first sensorcoupled to a person, secure information; determining a sensor typeaccording to the secure information; determining, from the sensor type,target positioning information of a body part of the person to perform asuitable first type of biological measurement; receiving positioninginformation associated with the body part of the person; responsive todetermining from the positioning information that the body part iswithin a range of the target positioning information, directing thefirst sensor to generate first sensor data associated with the firsttype of biological measurement; and responsive to determining from thepositioning information that the body part is not within the range ofthe target positioning information, postponing use of the first sensorto generate the first sensing data associated with the first type ofbiological measurement.
 2. The machine-readable storage medium of claim1, wherein the directing the first sensor is further responsive todetermining according to the secure information that the first sensor isassociated with the person, and wherein the secure information isencrypted.
 3. The machine-readable storage medium of claim 1, whereinthe positioning information comprises orientation information associatedwith the body part, motion information associated with the body part, orboth.
 4. The machine-readable storage medium of claim 1, wherein thepositioning information is generated by an accelerometer, a gyroscope, amagnetometer, or combinations thereof.
 5. The machine-readable storagemedium of claim 1, wherein the directing further comprises: detecting abiological condition according to the first sensing data; and responsiveto detecting the biological condition, obtaining second sensing data,the second sensing data associated with a second type of biologicalmeasurement differing from the first type of biological measurement. 6.The machine-readable storage medium of claim 5, wherein the secondsensing data is obtained from the first sensor.
 7. The machine-readablestorage medium of claim 5, wherein the second sensing data is obtainedfrom a second sensor that differs from the first sensor.
 8. Themachine-readable storage medium of claim 1, wherein the directingfurther comprises: receiving, from a second sensor coupled to a secondbody part of the person, second sensor data; generating a comparativemeasurement by comparing the first sensor data and the second sensordata; and detecting an adverse biological condition responsive todetermining that the comparative measurement exceeds a threshold.
 9. Abiological sensor, comprising: a sensing device that facilitatesgeneration of first sensor data, the first sensor data associated with afirst type of biological measurement that enables detection of a firstbiological condition; a position sensor that facilitates generation ofpositioning information; and a processor coupled to the sensing deviceand the position sensor that facilitates operations including: receivinginformation from the sensing device; determining a sensor type accordingto the information; determining, from the sensor type, targetpositioning information of a body part of a person to perform the firsttype of biological measurement; receiving, from the position sensor,positioning information associated with the body part; and responsive todetermining from the positioning information that the body part iswithin a range of the target positioning information, obtaining thefirst sensing data from the sensing device.
 10. The biological sensor ofclaim 9, wherein the obtaining the first sensor data is furtherresponsive to determining according to the information that the sensingdevice is associated with the person.
 11. The biological sensor of claim9, wherein the operations further comprise postponing use of the sensingdevice to generate the first sensing data associated with the first typeof biological measurement, responsive to determining from thepositioning information that the body part is not within the range ofthe target positioning information.
 12. The biological sensor of claim9, wherein the positioning information comprises orientation informationassociated with the body part, motion information associated with thebody part, or both.
 13. The biological sensor of claim 9, wherein theposition sensor comprises an accelerometer, a gyroscope, a magnetometer,or combinations thereof.
 14. The biological sensor of claim 9, whereinthe obtaining the first sensing data further comprises: detecting abiological condition according to the first sensing data; and responsiveto detecting the biological condition, obtaining second sensing data,the second sensing data associated with a second type of biologicalmeasurement differing from the first type of biological measurement. 15.The biological sensor of claim 14, wherein the second sensing data isobtained from the sensing device.
 16. The biological sensor of claim 14,wherein the second sensing data is obtained from another sensing device.17. The biological sensor of claim 9, wherein the operations furthercomprise transmitting a message indicating that the positioninginformation of the body part is not conducive for the sensing device toperform the first type of biological measurement.
 18. A system,comprising: a processor; and a memory that stores executableinstructions that, when executed by the process, facilitate performanceof operations, comprising: receiving, from a first sensor coupled to aperson, information including a sensor type; obtaining orientationinformation relating to a first body part of the person; and obtaining,from the first sensor, first sensor data associated with a firstbiological measurement responsive to determining according to theorientation information and the sensor type that a position of the firstbody part is suitable for the first sensor to perform the firstbiological measurement.
 19. The system of claim 18, wherein theinformation further includes an identification of the person, andwherein the obtaining the first sensor data is further responsive todetermining according to the identification that the first sensor isassociated with the person.
 20. The system of claim 18, wherein theoperations further comprise: receiving, from a second sensor coupled toa second body part of the person, second sensor data; generating acomparative measurement by comparing the first sensor data and thesecond sensor data; and detecting an adverse biological conditionresponsive to determining that the comparative measurement exceeds athreshold.